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Jobs

Submit Job Here

  • KLA-Tencor Corporation
    Full-Time

    Position: Senior Algorithm Engineer
    Location: Milpitas, CA
    Duration 
    : Full time

     

    Job Description:
    We are looking for a senior level Algorithm Engineer with a strong background in signal / image progressing who processes the ability and determination to apply this knowledge to solve difficult problems in the areas of defect detection and defect classification. Candidate will be joining the engineering team that creates the world's most advanced wafer inspection equipment.

    The successful candidate will have a high level of ownership during the development of critical image processing subsystems, from the concept design phase through product design, release and sustaining. The candidate must be self-motivated and self-directed, with ability to set priorities and achieve quality results.

    Activities will include working with cross functional teams to define subsystem specifications, analyze data, model solutions, design and implement chosen solution, and test implementation against subsystem specifications. Initial tasks would include morphing existing algorithms from other KLA-Tencor systems to provide value on the Surfscan system.  Future tasks would involve ground up algorithm design and the implementation of that design for the next generation system.

    The ideal candidate will love a good technical challenge and will enjoy the opportunity to work with a variety of different technologies.

    Responsibilities include:
    1)Must be able to look at the pro's/Con's and determine the correct course of action
    2) Strong Machine learning / Classification algorithms
    3) Strong signal / image processing background
    4) Statistical processing background (Detection / Estimation Areas)
    5) Modeling capabilities (System Noise, Signal reconstructions, etc)
    6) Math analysis skills
    7) C Programming skills
    8) Matlab Programming skills.

    Semiconductor industry experience highly desirable.

    note: We are looking for candidates who have exp in Classification Algorithms

    Basic Qualifications:
    Bachelor's Level Degree with at least 5 years of experience.
    OR
    Master's Level Degree with at least 4 years of experience.
    OR
    Doctorate (Academic) with at least 2 years of experience.

    Kindly send your resumes to sivaram.bose@kla-tencor.com

    Sivaram Bose
    Sivaram.bose@kla-tencor.com
  • Affectiva Inc
    Full-Time

    Machine Learning Scientist

    Research Scientist (Machine Learning)

    Come help build the leading emotion analysis platform powered by the largest repository of emotional data in the world. Affectiva is looking for a highly talented and motivated Research Scientist to join our team.

    About Affectiva

    Founded in 2009, Affectiva grew out of collaborative research at the MIT Media Lab. We apply innovations in affective computing to help understand how people feel in order to improve products and experiences. Affectiva’s customers include Fortune 500 companies, agencies and leading universities. Its products include the Q™, a wearable biosensor, and the Affdex facial expression recognition platform. Affectiva is privately held with backing from the National Science Foundation, WPP and venture capital. We are located in the Waverley section of Waltham, MA with easy access by public transport.

    Responsibilities

    Affectiva has the world’s largest database of physiological and facial expressions of emotion. This is a real-world, rich dataset albeit a challenging one. We’re looking for someone who wants to push the state-of-the-art in machine learning methods, applying those methods to large amounts of noisy, complex real-world data. The ideal candidate will advance our core emotion recognition algorithms; choosing discriminative features that represent the data and building a smart machine learning system that is capable of online learning with semi-supervised training and classification.

    For a hard-core machine learning person who wants to take research out of the lab and into the real world, this is a dream job!

    The responsibilities of the Research Scientist include:

    • Research, develop and implement state-of-the-art machine learning solutions to the problems of emotion recognition
    • Research, develop and implement meaningful features in the data that discriminate a range of emotions

    Requirements

    We’re looking for a motivated, entrepreneurial and talented professional to add to the Affdex team. Successful candidates for this role will have:

    - A Masters/PhD degree in EE/Computer Science with specialization in

    machine learning, computer vision or related areas.

    - Solid background and experience in machine learning, especially dealing with any of: large amounts of data, noisy labels, semi-supervised classification or online learning;

    - Excellent programming skills (e.g., MATLAB, C/C++. Python);

    Assets:

    - Expertise in facial / human behavior analysis, tracking and classification

    - Industry experience researching and implementing machine learning models for real-world data;

    - Commercial software development experience


    Steve Russo
    steve.russo@affectiva.com
  • Bell Labs Research India, Alcatel-Lucent
    Full-Time

    Bell Labs India is looking to hire outstanding PhD candidates with a background in Machine Learning and its application areas. 

     

    About BL India: 

    --------------------

     

    Bell Labs India research center (www.alcatel-lucent.com/bell-labs/india/) in Bangalore is an integral part of Bell

    Labs (the research arm of Alcatel-Lucent) with a mission to conduct basic and applied research in scientific fields related to computing and communications software. BL India has active research programs in wireless networks, machine learning, network & distributed systems, algorithms, data mining, security and human-computer interaction. The center has a strong record of top-tier publications, and successful technology and product transfers. 

     

     

    ML research in BL India: 

    --------------------------

     

    We are interested in research issues pertaining to the application of machine learning algorithms to social network analysis in order to explain social phenomena like influence propagation, community formation, social collaboration etc. The scope of this research direction is broad - at one end, we are keen on exploring the theoretical foundation for learning and characterizing these social phenomena. On the other hand, we are interested in building applications that can leverage these social behavior in an innovative and easily consumable way. 

     

    Another focus of our lab is building technologies for users in emerging markets such as India. Towards this end, we are looking to build intelligent and interactive applications on mobile smart-phones. Depending on the goals, this requires the development of algorithms that can learn & process multi-modal inputs (voice, video via a camera, location, text etc.) and through interactions with the end-user, offer fast and accurate decisions within the resource constraints of a mobile device. 

     

    How to apply: 

    -----------------

    We’re looking for research candidates with a PhD in CS/ECE/EE from a reputed university along with an interest and background in machine learning and its application areas (such as vision, NLP, speech/image processing etc.). The following is expected from such a researcher:

     

    Initiate and make significant technical contributions to Bell Labs research projects 

    Design and execute highly complex or specialized projects. 

    Create intellectual property and establish thought-leadership for Alcatel-Lucent by publishing papers in prestigious forums, filing patents, building and demonstrating prototypes. 

    Impact the business units of Alcatel-Lucent through novel innovations.

     

    To apply, please send your CV to blrindia@alcatel-lucent.com and to sharad.jaiswal@alcatel-lucent.com 

    Sharad Jaiswal
    sharad.jaiswal@alcatel-lucent.com
  • General Dynamics Robotic Systems
    PhD

    Required: U.S. citizenship or Green card, and advanced degree in Computer Science, Robotics, or related field, C++.

     Location: Pittsburgh, Pennsylvania

    General Dynamics Robotic Systems (GDRS) is a lead developer of unmanned ground vehicles.  At our Pittsburgh office we are looking for a talented and motivated researcher in the area of Computer Vision or sensor processing to support of our existing programs and to help win and start new programs.  We are particularly seeking candidates with skills in classification and recognition.  Tasks include inventing and implementing algorithms for improved perception for UGVs (or other platforms) for navigation and surveillance using a variety of sensors.   Candidate should enjoy working as part of a team.  Candidate will support proposal writing, making presentations to customers and publishing in the scientific community.

     

     

    Daniel Morris
    dmorris [at] gdrs.com
  • Scalable Display Technologies
    Full-Time

     

    Scalable Display Technologies is hiring for full time positions in Cambridge, Massachusetts.

     

    We write machine vision and graphics algorithms in order to make multiple projectors into gigantic, eye-catching displays.   For example, we make software that goes in 737 simulators, planetariums and runs 100 million pixel displays.

     

    If you would like to hack with a bunch of MIT alumni, work with cutting edge software and hardware, and literally have your ideas become a big, bright reality, drop us an e-mail. 

     

    We do a lot of graphics and machine vision, but, we have openings at all levels -- from junior software engineers up to Ph.D.'s in machine vision. 

     

    We are looking for:

      * People who like to hack

      * Proficiency in C++

      * Efficient problem solving skills

      * Someone not afraid of learning new skills, perhaps a new language.

      * Some experience working in a team

      * Some experience in industry (perhaps an internship)

      * Proficiency in .NET a plus, but not necessary.

      * Proficiency in OpenGL/DirectX a plus, but not necessary.

     

    Compensation includes stock options, competitive salary, and health insurance

    Drop a resume at hiring@scalabledisplay.com.

     

      Samson Timoner

     

    SAMSON TIMONER
    Hiring@ScalableDisplay.com
  • KLA-Tencor Corporation
    Full-Time

    Position: Senior Software Engineer
    Location: Milpitas, CA
    Duration:  Full time

    Job Description:
    We are seeking a highly motivated individual for an algorithm/software engineer position in Reticle and Photo mask Inspection Division.  The successful candidate will join a world-class engineering team designing advanced algorithm and software modules for next-generation photo mask/reticle inspection systems. 

    The candidate is expected to have a background in computational geometry, preferably related to Electronic Design Automation.  The main task will be to design, develop, test, and deliver efficient solutions for processing photo mask/reticle pattern data.  A significant experience in C++ and object-oriented programming is essential.  The candidate will also provide his/her C++ and OOP expertise to other team members to ensure high-quality software product. The candidate must possess good oral and written communications skills to interact with other engineers on a daily basis

    Qualifications/Education Desired:
    - MS degree in computer science, mathematics, EE, or ME.
    - 3 years of experience in software development.
    - Strong skills in computational geometry.
    - Expertise in C++, Object-Oriented Programming, Linux/UNIX development tools.
    - Some architecture and design experience with large, complex software.
    - Excellent written and verbal communications skills.
    - Experience in EDA/semiconductor capital equipment industry desirable

    Basic Qualifications:
    Master's Level Degree with at least 2-3 years of experience.

    We are looking to hire candidates with Computational Geometry Algorithms experience.

    Kindly send your resumes to sivaram.bose@kla-tencor.com

    Sivaram Bose
    sivaram.bose@kla-tencor.com
  • KLA-Tencor Corporation
    Full-Time

    Position: Entry Level Algorithms Engineer
    Location: Milpitas, CA
    Duration: Fulltime

    Job Description:
    The WIN algorithms group operates in the very challenging environment of the rapidly evolving semiconductor industry. The group designs and develops cutting edge image processing and machine learning algorithms. The group also implements system level solutions to push the limits of sensitivity on these inspection systems. The designs and implementations are always constrained to operate with the boundaries of robustness and stability. Furthermore, the real time requirements pose additional challenges. The WIN algorithms group also works extensively on providing solutions to live customer problems in the field.
    Qualifications/Education Desired:
    This group is looking for an extremely talented candidate with the following skills -
    (1) Very strong problem analysis and solving skills
    (2) Curiosity and willingness to learn new technologies
    (3) Strong programming skills in MATLAB and C/C++ on Linux and Windows platform
    (4) Knowledge of image processing algorithms is preferred
    (5) Mathematical and Statistical modeling and algorithm development background
    (6) Enthusiasm and energetic personality
    (7) Excellent communication skills

    This position is unique as it interfaces with several system level groups - Optics, mechanics, sensors, and applications among others. The opportunities are boundless in the technical areas as we are constantly pushing the envelope of leading edge technologies in algorithms and image computers. We are also constantly pursuing system level solutions for these complex automated inspection platforms. We are constantly innovating and releasing products every few months. If there is a strong leadership potential, then we intend to develop that and help the candidate grow in that direction as well.

    Basic Qualifications
    Ph.D. in the field of Electrical Engineering, Physics or Applied Math is preferred.

     

    Note: We are looking to hire Fresh Phd candidates only with EE, Physics or Applied Math.
    Kindly send your resumes to sivaram.bose@kla-tencor.com.

    Sivaram Bose
    sivaram.bose@kla-tencor.com
  • Global Genius Trust
    Other

    We are seeking an individual or company expert in digital recognition of landforms and topography, using real-time video in an artificial intelligence aircraft navigation system.  Must be familiar with state of the art image recognition systems.  Experience with UAV systems helpful.  Project involves identification of terrain features for flight navigation and landing.

    Project is constructed as a virtual workgroup; employees may do most of the job at home, with virtual conferencing among the members of the group.

    Stock in this start-up company are included in compensation package.

    See http://www.ggtrust.com/com_software_atc.html

    Joel Segurola
    joel.segurola@GGTrust.com
  • Booz Allen Hamilton
    Full-Time

    Key Role:
    Provide Systems Engineering and Technical Assistance (SETA) support to a Government Research and Development program focused on image and video processing and computer vision. Advise the Government Program Manager on the progress of research efforts and associated test and evaluation activities, ensuring these efforts remain on track towards satisfying program goals. Maintain an awareness of the state-of-the-art in computer vision technology and identify advances that impact the program. Participate in project site visits, review of deliverables, assessment of test results, and other activities focused on evaluating the progress of sponsored research. Foster collaboration with other R&D organizations, pursue opportunities for technology transfer, and assist with preparations for conferences, site visits, and other program events. Contribute to the preparation of program documentation and briefings, including program approval documents, research descriptions, and accomplishments reporting.

    Basic Qualifications:
    -5+ years of experience with research in Computer Vision, 3D Reconstruction, Image/Video Registration, Pose Estimation, and Sensor Fusion
    -Experience with research in cognitive biases
    -Ability to proactively manage multiple, concurrent tasks
    -Ability to commute to College Park, MD
    -TS/SCI clearance
    -MA or MS degree in CS, EE, or Applied Physics
     
    Additional Qualifications:
    -Possession of excellent oral and written communication skills
    -PhD degree preferred
     
    Clearance:
    Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
     
    Integrating the full range of consulting capabilities, Booz Allen is the one firm that helps clients solve their toughest problems, working by their side to help them achieve their missions. Booz Allen is committed to delivering results that endure.

    Visit http://careers.boozallen.com/job/College-Park-Computer-Vision-Systems-Engineer-and-Technical-Assistant-Job-MD-20740/1162946/ to create a profile and apply to job number 01101916.
     
    We are proud of our diverse environment, EOE, M/F/D/V.

    Jennifer Deskins
    deskins_jennifer@bah.com
  • Shenzhen Institutes of Advanced Technology
    Full-Time

    Shenzhen Institutes of Advanced Technology (SIAT, http://english.siat.cas.cn) was jointly established by the Chinese Academy of Sciences and the Shenzhen municipal government in Feb, 2006. It consists of three institutes of multi-disciplinary researches: Institute of Advanced Integration Technologies, Institute of Biomedical Engineering & Health Technologies and Institute of Advanced Computing and Digital Engineering. Currently it has 1200 members, including 260 research faculties (of them 182 are hired from overseas, 10 IEEE fellows, 4 AIMBE fellows, two CAE academician), 380 staff members and 560 graduate students. As of the end of 2010, SIAT has attracted research funding total 550M RMB, published 1224 papers, applied for 391 patents and spun off 36 companies.

    The Center for Digital Media Computing was established in January 2010 as one of the 5 research units in the Institute of Advanced Computing and Digital Engineering (http://szs.siat.ac.cn/eindex.jsp) of SIAT. The Center is dedicated to advanced researches in new media applications in the post web2.0 era. The current areas of focus are: 3-D video coding; integrated analysis, search and compression of massive amount of surveillance videos; city augmented reality; mining and visualization of large scale sensor data. The Center has immediate openings for research scientists at all levels and post-docs in the areas of multi-view video coding, image search and 3-D computer vision. We are looking for candidates with demonstrable research records in these areas and commitment to multidisciplinary research.


    Job descriptions

    Perform basic researches that have potential applications in the related fields. Track the latest development in the area. Apply for government and industry research grants. Produce patents and publications that are of international impact. Conduct industrial collaborations for technology transfer and commercialization.

    Requirements

    l  Candidate must have a doctoral degree in Computer Science, Electrical Engineering or related fields. Senior candidates (researchers and associate researchers) must have excellent publication records that are identifiable by peers. Junior candidates must have journal or top conference publications in the research areas.

    l  Demonstrable research experience in

    1.         For candidates of multi-view video coding:

    l  Video compression technologies

    l  MPEG, H.264, VP6/7 or other popular video standards

    l  Multi-view video coding implementations

    2.         For candidates of image search

    l  Statistical approaches and machine learning

    l  Video analysis such as object detection and tracing, event detection

    l  Content based image retrieval

    3.         For candidates of 3-D computer vision

    l  Theories and approaches of 3-D computer vision

    l  Stereo, Structure-From-Motion, light-field representation

    l  Large scale optimization techniques

    l  Experience with C/C++, Matlab, MFC or Linux development environment

    l  OpenCV, OpenGL or GPU preferred

    l  Good programming skills

    l  Good oral and written communications skills.

    The ideal candidate would be a creative thinker who enjoys tackling complex technical problems in a collaborative environment. Strong preference will be given to candidates with demonstrated intellectual curiosity, the ability to independently solve problems and present the solutions in logical and comprehensible ways. Applicants please provide 2-3 representative papers for references. Detailed information is available from: George Q. Chen, Director, Center for Digital Media Computing, Shenzhen Institutes of Advanced Technologies, Tel: (86) 755-8639-2315, Email: qian.chen@siat.ac.cn, Web: http://szs.siat.ac.cn/szmt. Applicants should submit a cover letter, curriculum-vitae, and a statement on their research interests.

    george chen
    georgechen99@yahoo.com
  • Johns Hopkins University
    Post-Doc

    The Johns Hopkins University and the Applied Physics Lab are seeking highly creative and motivated Postdoctoral Research Associates to develop, implement, and evaluate a novel mathematical framework, based on probabilistic graphical models, for the interpretation of multiple data streams in complex, noisy and partially observable environments. The primary research areas for the positions are:

     

    • Probabilistic graphical models that integrate multiple sensor modalities, accommodate model learning with prior knowledge, and support a rich query language
    • Probabilistic graphical models for categorization of objects in images
    • Bayesian decision theory for sensor planning and mission- sensitive allocation of sensor resources.
    • Software prototyping of parallel and incremental inference algorithms

    This position will be with Profs. René Vidal (BME), Andreas Terzis (CS), Yanif Ahmad (CS), and Dr. I-Jeng Wang (APL) at JHU. The work will be done in collaboration with Profs. Stuart Russell and Shankar Sastry at UC Berkeley and Dr. Avi Pfeffer at Charles RIver Analytics. The successful candidate should have a Ph.D. in a relevant quantitative field (e.g. Computer Science, Applied Math and Statistics, Electrical Engineering), a strong publication record in machine learning and Bayesian statistics, and strong interests in systems prototyping and applying these techniques to real-world datasets. A background in discrete optimization, Graph Cuts, MCMC methods, POMDPs, inference algorithms and nonparametric Bayesian methods is also desirable. The appointment will be for one year initially (renewable) starting September 2011 or as soon as possible thereafter.

     

    Applications must be sent by email to Yanif Ahmad <yanif@cs.jhu.edu>, and must include a brief letter of application, a CV including a list of publications, and names and email addresses of 2-3 referees. Review of applications will begin on July 15th, 2011.

    Note: If you are attending CVPR 2011 conferences please feel free to contact Prof. Rene Vidal about these positions.

    Rene Vidal
    rvidal@cis.jhu.edu
  • Internship
    Nikon Research and Development (Belmont, CA 94002)
    Internship

    NIKON RESEARCH AND DEVLOPMENT is seeking a summer intern to work on developing new imaging algorithms. This work requires a solid research and development background in computer vision and image processing.  The candidate will be required to perform extensive MATLAB and C programing. Other duties will include literary research, algorithm evaluation, and development of innovative solutions for theoretical and practical problems in imaging.

    Candidates must be Ph.D. students in Computer Science, Electrical Engineering or related fields. The ideal candidates would be a highly creative and motivated researcher with demonstrated high quality research work in computer vision and image processing field. Strong preference will be given to applicants who can quickly learn new concepts and work self-directed with low amount of supervision to develop and implement novel algorithms.

    Li Hong
    Nikoncamera@nikonrca.com
  • Shenzhen Institute of Advanced Technologies
    Full-Time

     
    Shenzhen Institutes of Advanced Technology (SIAT, http://english.siat.cas.cn) was jointly established by the Chinese Academy of Sciences and the Shenzhen municipal government in Feb, 2006. It consists of three institutes of multi-disciplinary researches: Institute of Advanced Integration Technologies, Institute of Biomedical Engineering & Health Technologies and Institute of Advanced Computing and Digital Engineering. Currently it has 1200 members, including 260 research faculties (of them 182 are hired from overseas, 10 IEEE fellows, 4 AIMBE fellows, two CAE academician), 380 staff members and 560 graduate students. As of the end of 2010, SIAT has attracted research funding total 550M RMB, published 1224 papers, applied for 391 patents and spun off 36 companies.
    The Center for Digital Media Computing was established in January 2010 as one of the 5 research units in the Institute of Advanced Computing and Digital Engineering (http://szs.siat.ac.cn/eindex.jsp) of SIAT. The Center is dedicated to advanced researches in new media applications in the post web2.0 era. The current areas of focus are: 3-D video coding; integrated analysis, search and compression of massive amount of surveillance videos; city augmented reality; mining and visualization of large scale sensor data. The Center has immediate openings for research scientists at all levels and post-docs in the areas of multi-view video coding, image search and 3-D computer vision. We are looking for candidates with demonstrable research records in these areas and commitment to multidisciplinary research.

    Job descriptions 
    Perform basic researches that have potential applications in the related fields. Track the latest development in the area. Apply for government and industry research grants. Produce patents and publications that are of international impact. Conduct industrial collaborations for technology transfer and commercialization.
    Requirements: 
    l  Candidate must have a doctoral degree in Computer Science, Electrical Engineering or related fields. Senior candidates (researchers and associate researchers) must have excellent publication records that are identifiable by peers. Junior candidates must have journal or top conference publications in the research areas.
    l  Demonstrable research experience in
    1.         For candidates of multi-view video coding:
    l  Video compression technologies
    l  MPEG, H.264, VP6/7 or other popular video standards
    l  Multi-view video coding implementations
    2.         For candidates of image search
    l  Statistical approaches and machine learning
    l  Video analysis such as object detection and tracing, event detection
    l  Content based image retrieval
    3.         For candidates of 3-D computer vision
    l  Theories and approaches of 3-D computer vision
    l  Stereo, Structure-From-Motion, light-field representation
    l  Large scale optimization techniques
    l  Experience with C/C++, Matlab, MFC or Linux development environment
    l  OpenCV, OpenGL or GPU preferred
    l  Good programming skills
    l  Good oral and written communications skills.
    The ideal candidate would be a creative thinker who enjoys tackling complex technical problems in a collaborative environment. Strong preference will be given to candidates with demonstrated intellectual curiosity, the ability to independently solve problems and present the solutions in logical and comprehensible ways. Applicants please provide 2-3 representative papers for references. Detailed information is available from: George Q. Chen, Director, Center for Digital Media Computing, Shenzhen Institutes of Advanced Technologies, Tel: (86) 755-8639-2315, Email: qian.chen@siat.ac.cn, Web: http://szs.siat.ac.cn/szmt. Applicants should submit a cover letter, curriculum-vitae, and a statement on their research interests. 

    George Chen
    qian.chen@siat.ac.cn
  • Australian National University (ANU)
    Post-Doc

    We have an opening for a 2-year Research Fellow position on the topic of high-level scene understanding in the Research School of Computer Science at ANU. The project aims to develop probabilistic models that can be used to reason about the objects, geometry and activities in a scene.


    Building on preliminary work in the field, the successful applicant will help develop new models for scene understanding and the associated machinery for automatically learning the parameters of these models from data. A key aspect of the project is to leverage the existence of large semi-supervised online datasets to enable the framework to make inferences about new objects and scene categories as more data becomes available.
    Applicants should have recently graduated with a PhD degree in computer science or related discipline and have a strong background in computer vision and machine learning. If you have an outstanding academic record and excellent programming skills then apply within.

     

    The ANU values a diverse workforce and as such women are especially encouraged to apply for this role.


    For more details see http://jobs.anu.edu.au/PositionDetail.aspx?p=2098

    Stephen Gould
    stephen.gould@anu.edu.au
  • 2d3
    Full-Time

    2d3 is seeking to fill two computer vision scientist positions.  One position will be based out of its Oxford office and the other out of its Southern California office.  The US position requires US citizenship.

    Please contact Ben Ochoa during CVPR.  He will arrange to meet excellent candidates during the conference.  Following is the full job description.

     

    The Company

    Since 1999, 2d3 has supplied a range of computer vision products, all based on ‘3D from the moving image’, mainly to the film and television production industries.  The company’s primary product, Boujou, the world’s leading automatic camera tracker, is now used by most film and video post-production companies to generate visual effects requiring accurate registration of real and virtual images. 

    In 2006, 2d3 expanded its efforts into the aerial imaging market.  The group has developed a set of technologies covering a wide range of real-time and off-line computer vision capabilities for processing of aerial motion imagery. 

    2d3 is part of OMG plc, a company with a 25 year history of developing, manufacturing, and selling products for 3-dimensional tracking in medical, industrial, government, and defense markets.  OMG exports over 80% of its sales with customers in over 50 countries.  Since 2001, OMG has been listed on the London Stock Exchange.

     

    The Job

    The new appointee will be a computer vision scientist with relevant research experience, gained in academic, public sector, or commercial environments.  He or she will join a team with similar experience and act as technical lead on one or more projects covering augmented reality, real time structure from motion, automatic object recognition, vision hybrid navigation and targeting, tracking and collision avoidance, and terrain and urban modelling.

     2d3 has close working relationships and a number of active collaborative projects with leading academic computer vision groups in UK, Europe, and US. Members of the company regularly attend and present at the major international computer vision conferences. Within the constraints of commercial and national security, 2d3 encourages the publication of peer-reviewed or invited papers and presentations.

    2d3 uses Matlab for prototyping but the majority of 2d3’s extensive internal computer vision libraries are implemented in speed-optimised, multi-threaded C++.  Windows or Linux environments are used according to project and customer requirements.

     

     The key areas of R&D for 2d3 include, but are not limited to:

    •  Image-based tracking (stabilization, SFM, SLAM, multi-sensor systems, etc)
    •  Object detection, recognition, & classification (with/without tracking, single/multi-view)
    •  Automatic mosaicing (using a range of matching methods)
    •  Photometric optimisation & matching
    •  Camera calibration & image rectification
    • Novel view synthesis
    • Super-resolution & compression artifact reduction
    • Hyperspectral image fusion
    • Terrain & townscape 3D modeling

    In addition, if you have the following key skills, they will set you apart from other candidates:

    • C and C++
    • OpenGL
    • XML
    • Boost
    • IPP

    In addition to your skills, you will also be required to satisfy the following minimum requirements:

    • Fluency in English, both written and spoken
    • Doctoral degree  - Computer Science or Electrical Engineering with direct experience in applied Computer Vision techniques
    • 5 years of full time, professional software development and engineering experience
    • Must have been published in a generally accepted academic trade publication for novel application of vision science theory to a real world problem. 
    • Excellent analytic problem solving and critical thinking skills
    Ben Ochoa
    ben.ochoa at 2d3.com
  • Kitware, Inc.
    Full-Time

    Kitware is actively seeking software developers to join our Computer Vision team.  Kitware has extensive expertise developing robust solutions for real-world data and is actively working with industry and government agencies on a variety of vision-based projects. 

    Founded in 2007, the group has won more than fifteen contracts in video event and activity recognition, moving object detection and tracking, motion pattern learning and anomaly detection, functional object recognition, video compression, 3D reconstruction and other areas.  Our efforts are sponsored by premier government R&D sponsors such as DARPA and AFRL, and include prime contracts as well as SBIRs and STTRs.  We have active subcontracts and collaborations with four major defense companies and ten universities with internationally-recognized computer vision faculty. 

    This is an opportunity for BS and MS level candidates to contribute exceptional skill in C++; knowledge of other programming languages such as C, Java, MATLAB, Perl, Tcl, and/or Python; knowledge of software development processes/environments including MS Visual Studio, gcc, make, CMake/CDash, XCode and/or Borland; and ability to develop software for Unix, Linux, MacOS and/or Windows operating systems to large open-source projects and communities.

    Kitware team members enjoy our small company environment, flexibility in work assignments, and the high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes flexible working hours, six weeks paid time off, a personal computer hardware budget, 401(k), health insurance, Flexible Spending Account (FSA), life insurance, short- and long-term disability, visa processing, a generous compensation plan (that compensates employees for all hours worked – not just the first 40), bonus, and free coffee, drinks and snacks.

    For extremely talented developers, we are always hiring.  Unfortunately, due to contractual restrictions, we are giving strong preference to US Citizens and Permanent Residents at the current time.  Please email your cover letter and resume to jobs@kitware.com for immediate consideration.

    Katie Cronen
    jobs@kitware.com
  • Kitware, Inc.
    Full-Time

    Kitware is actively seeking researchers and software developers to join our Computer Vision team.  Kitware has extensive expertise developing robust solutions for real-world data and is actively working with industry and government agencies on a variety of vision-based projects. 

     

    Founded in 2007, the group has won more than fifteen contracts in video event and activity recognition, moving object detection and tracking, motion pattern learning and anomaly detection, functional object recognition, video compression, 3D reconstruction and other areas.  Our efforts are sponsored by premier government R&D sponsors such as DARPA and AFRL, and include prime contracts as well as SBIRs and STTRs.  We have active subcontracts and collaborations with four major defense companies and ten universities with internationally-recognized computer vision faculty. 

     

    This is an opportunity for PhD-level candidates to contribute their previously demonstrated creativity and research experience in solving hard problems using realistic video and imagery.  A strong publication record in major vision conferences is expected.

     

    Kitware team members enjoy our small company environment, flexibility in work assignments, and the high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes flexible working hours, six weeks paid time off, a personal computer hardware budget, 401(k), health insurance, Flexible Spending Account (FSA), life insurance, short- and long-term disability, visa processing, a generous compensation plan (that compensates employees for all hours worked – not just the first 40), bonus, and free coffee, drinks and snacks.

     

    For extremely talented researchers, we are always hiring.  However, due to contractual restrictions, significant preference is being given to candidates that are US Citizens.  Please email your cover letter and resume to jobs@kitware.com for immediate consideration.

     

    Kitware is an Equal Opportunity Employer and proudly supports Affirmative Action. Please, no recruiters or agencies without a previously signed contract.

    Katie Cronen
    jobs@kitware.com
  • York University
    Post-Doc

    A postdoctoral position is available in the laboratory of James Elder at the York University Centre for Vision Research in Toronto, Canada.  We seek an individual to participate in an ongoing programme of research in computer vision.  The candidate should have a PhD in a relevant field and extensive experience in computer vision. 

     

    Areas of interest for the laboratory include:

     

    Natural scene statistics

    Contour grouping and image segmentation

    Shape modeling

    Object detection

    Single-view reconstruction of smooth and non-smooth objects

    Human and vehicle tracking

     

    The salary for this position is competitive and the starting date is flexible.  The position is for one year, with the possibility of renewal.  The application deadline is July 11, 2011.  International applications are encouraged. 

     

    The Centre for Vision Research (CVR) at York University is an international leader in human and machine vision research. Uniting researchers from psychology, computer science & engineering, biology and kinesiology & health science, work at the centre is highly interdisciplinary and collaborative, rooted in a fundamental research programme that merges techniques in human psychophysics, visual neuroscience and computational theory. Leading-edge facilities include a 3T fMRI scanner, a six-sided immersive virtual reality room, and a wide array of visuo-robotic platforms.

     

    The CVR is home to a rich history of scientific discovery and technological innovation with real-world consequences. Our vision health research tackles the problems of strokes, migraines, brain disorders, autism and visual deficits in Canada's aging population. Vision technology application areas include medical and assistive devices, visual security, search-and-rescue, 3D film, and augmented reality systems used in collaboration with NASA and the aerospace industry.

     

    More information about the Elder Laboratory is available at:  www.elderlab.yorku.ca

    More information about the Centre is available at www.cvr.yorku.ca 

     

    Applicants should send a c.v. and the names of 3 referees to:

     

    James Elder

    Centre for Vision Research

    York University

    4700 Keele Street

    Toronto, ON

    Canada

    M3J 1P3

     

    Fax:  (416) 736-5857

     

    email:  jelder@yorku.ca

    www:   www.yorku.ca/jelder

    James Elder
    jelder@yorku.ca
  • Johns Hopkins University
    Post-Doc

     

    The Johns Hopkins University and the Applied Physics Lab are seeking highly creative and motivated Postdoctoral Research Associates to develop, implement, and evaluate a novel mathematical framework, based on probabilistic graphical models, for the interpretation of multiple data streams in complex, noisy and partially observable environments. The primary research areas for the positions are:

    • Probabilistic graphical models that integrate multiple sensor modalities, accommodate model learning with prior knowledge, and support a rich query language
    •  Probabilistic graphical models for categorization of objects in images
    •  Bayesian decision theory for sensor planning and mission-sensitive allocation of sensor resources.
    •  Software prototyping of parallel and incremental inference algorithms

    This position will be with Profs. René Vidal (BME), Andreas Terzis (CS), Yanif Ahmad (CS), and Dr. I-Jeng Wang (APL) at JHU. The work will be done in collaboration with Profs. Stuart Russell and Shankar Sastry at UC Berkeley and Dr. Avi Pfeffer at Charles RIver Analytics. The successful candidate should have a Ph.D. in a relevant quantitative field (e.g. Computer Science, Applied Math and Statistics, Electrical Engineering), a strong publication record in machine learning and Bayesian statistics, and strong interests in systems prototyping and applying these techniques to real-world datasets. A background in discrete optimization, Graph Cuts, MCMC methods, POMDPs, inference algorithms and nonparametric Bayesian methods is also desirable. The appointment will be for one year initially (renewable) starting September 2011 or as soon as possible thereafter.

    Applications must be sent by email to Yanif Ahmad <yanif@cs.jhu.edu>, and must include a brief letter of application, a CV including a list of publications, and names and email addresses of 2-3 referees. Review of applications will begin on July 15th, 2011.

     

     

    Rene Vidal
    rvidal@cis.jhu.edu
  • Jet Propulsion Laboratory
    Full-Time

    Research and research support in vision for robotics and surveillance

    The Jet Propulsion Laboratory (JPL) anticipates growth in computer vision groups that address application areas including autonomous navigation (ground, air, maritime, and space), robot manipulation, and surveillance. Inquiries at all levels will be considered, from full-time, PhD-level research to post-doc to strong computer vision/embedded system implementation. JPL conducts research sponsored by NASA, many DoD agencies, and industry on 3-D perception with passive and active sensors, multi-sensor terrain understanding, dynamic scene understanding,  and classification/recognition for manipulation and surveillance. Robot navigation applications range from hand-held unmanned air and ground vehicles, to full-sized vehicles on-road, off-road, on and under water, to planetary rovers, landers, and balloons. Robot manipulation applications include a variety of tasks and domain areas on Earth and in-space assembly and servicing. Surveillance applications primarily involve overhead imagery. We are seeking self-motivated individuals with a balance of mathematical and implementation skills and strong communication skills; calibre of the applicant is more important than research specialization. More information about robotics at JPL can be found at http://robotics.jpl.nasa.gov.

    Dr. Larry Matthies
    lhm@jpl.nasa.gov
  • NEC Labs, Cupertino
    Internship

    Internship Position in 3D Computer Vision

    NEC Labs America is seeking highly motivated, qualified applicants for a three-month internship in the Media Analytics Group during Summer or Fall 2011. Our group pursues cutting-edge research in image-based search, recognition, 3D reconstruction and machine learning. Our Cupertino location in the heart of Silicon Valley offers friendly California weather and a host of outdoors and cultural activities.

    The project relates to 3D reconstruction, in particular, developing key aspects of our in-house pipeline for ordered and unordered structure-from-motion (SFM). The internship will develop a robust, efficient SFM system that integrates feature matching, tracking, structure computation, pose estimation and bundle adjustment. The ideal candidate will have a proven record of innovation and successful completion of research projects.

    Responsibilities:

    • Work closely with an NEC researcher on the specific project.
    • Design, implement and evaluate algorithms to develop an SFM architecture.
    • Collaborate in the documentation, publication and patenting of your project.

    Requirements:

    • Enrollment in a PhD program in Computer Science, Electrical Engineering or related fields.
    • Excellent C++ programming skills on Linux-based platforms are essential.
    • Hands-on experience with developing components of an SFM system is desirable.
    • Experience in vision-based robotics (SLAM, tracking) and camera systems is a plus.

    To apply, please visit the following website and submit a CV for Req. #1048:
        http://www.nec-labs.com/careers/internship.php

    Manmohan Chandraker
    manu@sv.nec-labs.com
  • Goethe University & Frankfurt Institute of Advanced Studies
    Post-Doc

    Postdoc and Phd positions in the "Frankfurt Vision Initiative"

    The Frankfurt Institute of Advanced Studies and the Goethe University, Frankfurt, has several openings for either PhD student or post-doc and/or sw engineer positions for systems research to develop a next generation bio-inspired cognitive vision system as part of the Bernstein Focus Neurotechnology (BFNT) Frankfurt. The 'Frankfurt Vision Initiative' is part of the Bernstein Network of Computational Neuroscience funded by the German Federal Ministry of Education and Research (BMBF).  The project team is an interdisciplinary team made up of
    neuroscientists, physicists, and computer scientists. 

    For Postdoc positions preference will be given to candidates with depth in
    computational neuroscience, computer vision, machine learning and/or vision based robotics. The candidates must also have sufficient breadth to work in an interdisciplinary team.  Experience in SW engineering of large systems will be considered a plus. We are looking for post-graduate students who have graduated in computer science, electrical engineering and/or related disciplines with strong foundations in applied mathematics, physics, statistics, computer science, electrical engineering or related disciplines.
    In general, candidates are required to have a strong analytical background and solid programming skills. Good communication skills in English (oral and written) are essential.

    Please respond with a document (in pdf format) with statement of interest (letter of intent), statement of research interests, CV and list of references to: schmitz@fias.uni-frankfurt.de

    For details of the project and respective positions you may also contact
    one of the professors in your relevant area of expertise:   Professor Christoph von der Malsburg  (malsburg@fias.uni-frankfurt.de) (Neuro-inspired Vision Systems) ,
    Professor Jochen Triesch (triesch@fias.uni-frankfurt.de) (Computational Neuroscience & Cognitive Science),  Professor Roland Memisevic (ro@cs.uni-frankfurt.de)  (Machine Learning), Professor Visvanathan Ramesh (ramesh@fias.uni-frankfurt.de) (Systems engineering for Vision and Cognition) and Professor Rudolf Mester (mester@vsi.cs.uni-frankfurt.de) (Computer Vision).

    The positions are limited to 2 years (post-doc) or up to 3 years (doctoral student), with an option for extension for a maximum of 4 years in total. The contract is based upon the regulations of Wissenschaftszeitvertragsgesetz and Hessisches Hochschulgesetz. Goethe University Frankfurt is committed to increasing the proportion of women in the female scientific staff and applications from women are particularly appreciated.  In case of equal qualifications between two applicants, preference will be given to persons with disabilities.

    Gaby Schmitz
    schmitz@fias.uni.frankfurt.de
  • The Hong Kong Polytechnic University
    PhD

    Research Positions in Biometrics

    Applications are invited for the position of research assistant in the Department of Computing, The Hong Kong Polytechnic University. The applicants should have Bachelor's degree in
    Computer Science and/or Electronics Engineering with relevant Master's degree. The applicants are also expected to have strong background in Pattern Recognition and/or Image Processing. The applicants should have excellent programming skills and candidates with experience in biometrics related work can expect preference. The successful candidate(s) are expected to directly work with Ajay Kumar in The Hong Kong Polytechnic University. The applications received before 30/07/2011 will be reviewed immediately.

     

    Please send your detailed CV (including aggregate marks, courses undertaken, project undertaken) to Ajay Kumar, The Hong Kong Polytechnic University via email at csajaykr@comp.polyu.edu.hk  The applicants who do not receive any response within four weeks of their application should consider their application as unsuccessful.

    **If you are visiting CVPR'11, please send and email to me so that I can have short meeting during the 19-24 June regarding this position.

    Ajay Kumar
    csajaykr@comp.polyu.edu.hk
  • Digimarc
    Internship

    RESPONSIBILITIES

    As a researcher and engineer in a small fast paced team, this individual will need to be able to take ideas quickly from brainstorming through software prototype and test. The candidate will also need to work closely with a team to deliver technology to customers and partners. The technology focus will be digital watermarking and context understanding which span image and signal processing, information theory, security issues, along with camera (especially cell phones), print and scan environments. Strong verbal and written communication skills will be a key success factor. Limited travel will be required.

     

    QUALIFICATIONS

    • MS or PhD in electrical or computer engineering with an emphasis on image and/or signal processing (math, physics or equivalent degrees will be considered if combined with significant image or signal processing experience)
    • A track record of successful research related to image processing
    • Excellent written and verbal communication skills
    • Demonstrated ability to deliver high-quality results on time
    • Experienced in MatLab and C/C++

     

    DESIRABLE EXPERIENCE/KNOWLEDGE

    • Familiarity with watermarking
    • Familiarity with multimedia (audio, video, imaging, print) technologies
    • Embedded systems skills (Firmware, DSP, Hardware design, SystemC, HDL)
    • Curiosity and diverse technical interests/skills
    John Stach
    jstach@digimarc.com
  • Nanyang Technological University
    Post-Doc

    Two Postdoctoral Research Fellow (RF) and Research Assistant (RA) positions in computer vision & machine learning are available immediately at the Visual Computing research group (http://vc.sce.ntu.edu.sg/index.htm) at Nanyang Technological University, Singapore. Our current research activities focus on four areas: 1) Internet Vision and Social Media, 2) Video and Event Analysis, 3) Biometrics, and 4) Machine Learning for Vision. The successful candidates are expected to conduct research in an area that synergizes with our current activities. Applicants should possess a PhD in a relevant discipline (electronic engineering, computer engineering or applied mathematics) and have established a strong research profile in computer vision and machine learning (as evidenced by publications in top quality journals or conferences). This position is initially available for a period of one year with the possibility of extension for another year. Successful candidates can expect a very competitive salary and benefits. Please send your CV and names of at least two references to:

    Assistant Prof. Dong Xu

    School of Computer Engineering

    Nanyang Technological University

    Singapore, 639798

    Email: dongxu AT ntu.edu.sg

    Homepage: http://www.ntu.edu.sg/home/dongxu

    Assistant Prof. Dong Xu
    dongxu AT ntu.edu.sg
  • Shenzhen Institute of Advanced Technologies
    Full-Time

     

    Shenzhen Institutes of Advanced Technology (SIAT, http://english.siat.cas.cn) was jointly established by the Chinese Academy of Sciences and the Shenzhen municipal government in Feb, 2006. It consists of three institutes of multi-disciplinary researches: Institute of Advanced Integration Technologies, Institute of Biomedical Engineering & Health Technologies and Institute of Advanced Computing and Digital Engineering. Currently it has 1200 members, including 260 research faculties (of them 182 are hired from overseas, 10 IEEE fellows, 4 AIMBE fellows, two CAE academician), 380 staff members and 560 graduate students. As of the end of 2010, SIAT has attracted research funding total 550M RMB, published 1224 papers, applied for 391 patents and spun off 36 companies.

    The Center for Digital Media Computing was established in January 2010 as one of the 5 research units in the Institute of Advanced Computing and Digital Engineering (http://szs.siat.ac.cn/eindex.jsp) of SIAT. The Center is dedicated to advanced researches in new media applications in the post web2.0 era. The current areas of focus are: 3-D video coding; integrated analysis, search and compression of massive amount of surveillance videos; city augmented reality; mining and visualization of large scale sensor data. The Center has immediate openings for research scientists at all levels and post-docs in the areas of multi-view video coding, image search and 3-D computer vision. We are looking for candidates with demonstrable research records in these areas and commitment to multidisciplinary research.

     Job descriptions 

    Perform basic researches that have potential applications in the related fields. Track the latest development in the area. Apply for government and industry research grants. Produce patents and publications that are of international impact. Conduct industrial collaborations for technology transfer and commercialization.

    Requirements

    l 

    Candidate must have a doctoral degree in Computer Science, Electrical Engineering or related fields. Senior candidates (researchers and associate researchers) must have excellent publication records that are identifiable by peers. Junior candidates must have journal or top conference publications in the research areas.

    l 

    Demonstrable research experience in

    1.         

    For candidates of multi-view video coding:

    l 

    Video compression technologies

    l 

    MPEG, H.264, VP6/7 or other popular video standards

    l 

    Multi-view video coding implementations

    2.         

    For candidates of image search

    l 

    Statistical approaches and machine learning

    l 

    Video analysis such as object detection and tracing, event detection

    l 

    Content based image retrieval

    3.         

    For candidates of 3-D computer vision

    l 

    Theories and approaches of 3-D computer vision

    l 

    Stereo, Structure-From-Motion, light-field representation

    l 

    Large scale optimization techniques

    l 

    Experience with C/C++, Matlab, MFC or Linux development environment

    l 

    OpenCV, OpenGL or GPU preferred

    l 

    Good programming skills

    l 

    Good oral and written communications skills.

    The ideal candidate would be a creative thinker who enjoys tackling complex technical problems in a collaborative environment. Strong preference will be given to candidates with demonstrated intellectual curiosity, the ability to independently solve problems and present the solutions in logical and comprehensible ways. Applicants please provide 2-3 representative papers for references. Detailed information is available from: George Q. Chen, Director, Center for Digital Media Computing, Shenzhen Institutes of Advanced Technologies, Tel: (86) 755-8639-2315, Email: qian.chen@siat.ac.cn, Web: http://szs.siat.ac.cn/szmt. Applicants should submit a cover letter, curriculum-vitae, and a statement on their research interests.

     

    George Chen
    qian.chen@siat.ac.cn
  • The National Robotics Engineering Center (NREC) of Carnegis Mellon
    Full-Time

    Beyond the Robotics Specialist position, this position adds responsibilities to identify technical direction and to lead the design, development, and implementation of a significant component of a complex system. Identifying technical direction includes identifying and prioritizing new work that addresses weaknesses of or adds substantial new features to current systems; decomposing such work into smaller tasks for less senior personnel; and building development plans for small teams to execute. Responsibilities may also include assisting the project director in formalizing and tracking such plans, in presenting plans and progress to the customer, in tasking small teams to execute such plans, and in monitoring risks during the execution of such plans. It is expected that this position will supervise from one to seven engineers as well as support personnel. This position requires advanced formal engineering or computer science education, superior problem solving skills, and independent decision-making ability. Systems being constructed typically require design and development of: artificial intelligence, machine learning techniques, computer vision, path planning, real-time control algorithms, sensor interfaces, serial and Ethernet communication software, simulation, and graphical user interfaces.

    MINIMUN REQUIREMENTS

    *Us Citizenship or Greencard

    *Education: Master's degree in Robotics, Information Science, Computer Science, Software Engineering or engineering (electrical, computer, mechanical) or equivalent combination of training and experience

    *Experience: At least 4 or more years of related experience, including in depth experience in robotics applications

    *Skills: Ability to apply mastery and broad understanding in a specific field (i.e., computer science, chemistry, electrical engineering, design, etc.) to practical scientific or technical projects; skill in using C or C++ with modern software engineering processes; experience writing software in a Linux or Unix environment; in depth, applied experience with robotics and 3D computer vision and/or planning algorithms.

    PERFERRED REQUIREMENTS

    *Education: Ph.D. or equivalent combination of training and experience

    *Experience: Four or more years experience in developing applications in computer graphics, computer vision, and/or robotics; experience in developing and testing real-time algorithms; experience working with industrial manipulators

    *Skills: Familiarity with Matlab; familiarity with the GNU compiler tool chain; ability to work independently based on two hours of management interaction per week; excellent software system design skills; excellent problem solving, time management, process planning design, and organizational skills.

     

    Jenn Gustin
    jgustin@rec.ri.cmu.edu
  • NICTA
    Post-Doc

    NICTA (National ICT Australia)  is looking to fill at least two postdoctoral positions to work with Prof. Richard Hartley in Canberra Australia.  The positions will be for 2 or 3 years, and salary will be competitive internationally.

    NICTA is a government-funded research institute with centres in Canberra, Sydney, Melbourne and Brisbane.  The Canberra Lab has strong ties with the Australian National University (ANU).  The Computer Vision group at NICTA's Canberra Lab, and at ANU comprises about 12 staff members, as well as many graduate students. The position is open at the Canberra Lab.  There will be an opportunity to interact with and share supervision of graduate students from ANU.

    The subject of research is somewhat open, but should be related to Prof. Hartley's current research interests, which include optimization methods (both discrete and continuous), applied to computer vision problems, and applications of Riemannian geometry.  Current related projects in the laboratory include vision processing for Bionic Eye (artificial vision aids for vision impaired people), hyperspectral imagery and vision-based road-side mapping and recognition.  People with either strong programming skills, or a strong mathematical and theoretical background, or both, are particularly encouraged to apply.

    Interested people should send an enquiry with CV to Richard.Hartley@anu.edu.au, or speak directly with Richard Hartley at CVPR

    Richard Hartley
    Richard.Hartley@anu.edu.au
  • KTH
    Post-Doc

    KTH, The School of Computer Science and Communication (CSC) announce a post-doctoral position with special direction to applications of Machine Learning and Computer Vision

    The length of the position will vary from 1-2 years with possible extension up to 4 years. The applicant is expected to perform full time research of which approximately 50% will be devoted to an associated project on wearable vision.

    Stefan Carlsson
    stefanc@csc.kth.se
  • Canon USA
    Internship

    Canon USA R&D is comprised of a staff of 70 researchers and engineers working on various topics including security, connectivity, cloud computing as well as office and medical solutions. Our San Jose office is specifically researching topics in the field of computational imaging.

    We are looking for highly motivated and creative individuals for a summer internship. The successful candidate must be able to work self directed under the guidance from our experienced research staff. Ideally, the work will culminate in one or more high quality publications. There is the possibility to extend the summer internship to a part time internship for the rest of the year.

    The work will include experimental research prototyping of novel imaging techniques, theoretical modeling and validating the theoretical models with experiments.

    We are looking for candidates with some experience in setting up optical experiments, elementary lens design knowledge and Fourier optics or the modeling of optical systems (using e.g. Matlab, Zemax, Code V, or Oslo), or more generally for candidates with some background in computational photography, computer vision, image processing with excellent math skill in signal processing, inverse problems, linear optimization or related areas.

    For immediate consideration please, submit your resume, a recent publication, and a statement of your current research interests to Jennifer Krause at jkrause@cusa.canon.com.

    Jennifer Krause
    jkrause@cusa.canon.com
  • Cognex Corporation
    Full-Time
    The Company: Cognex Corporation
     
    With more than 275 patents and the largest team of industrial machine vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry. But our innovation goes beyond technology; we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field. Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding.
     
    As we continue on our successful journey, we are looking to add more talented, innovative and dedicated engineers to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a high impact team working for a financially strong, global company that is the leader in the machine vision industry, then contact us, because working at Cognex is not just a job….it’s a passion!
     
     
    The Team: Core Vision Technology
     
    This position is for a team member of the Core Vision and Applications group, responsible for designing and developing the most sophisticated Machine Vision software in the world. Our software is used to align, measure, recognize, and inspect all types of products from computer chips to chocolate chip cookies. Our systems are used in the production of over a billion products every day across many different industries including consumer goods, aerospace, pharmaceuticals, robotics and electronics.
     
    Industrial machine vision technology is used to analyze imagery (intensity, color, density, Z-data, etc.): to detect, identify and localize objects, to make measurements, to inspect for defects, and to read encoded data. In many cases, products simply could not be made without Cognex’s vision products. Technology development is critical to the overall business to expand areas of application, improve performance, discover new algorithms, and to make use of new hardware and processing power. Development is primarily done in C and C++. Engineers in this group typically have experience with image analysis, machine vision, or signal processing. Success in this role has the potential to lead to increased responsibility at Cognex.
     
     
    The Role:
     
    This group is seeking engineers with a passion for programming to lead core vision technology development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team.
     
     
    Essential Functions:
    1. Imagine, design, develop, code, and debug C and C++ machine vision software.
    2. Build efficient, real-time software and related libraries to run either on a PC or embedded platform. 
    3. Invent, implement and optimize new vision algorithms.
    4. Interact with internal or external customers. 
     
    Knowledge, Skills, and Abilities:
    1. Strong programming skills, and experience in production coding.
    2. Experience with signal processing and/or computer vision preferred.
    3. Industrial programming experience desirable. 
    4. Experience in applications of computer vision also of interest. 
    5. Creative, motivated and looking to work hard for an aggressive growth company.
     
    Minimum education and work experience required:
    1. MS from a top engineering school in EE, CS or equivalent , PhD preferred
    2. 5+ years experience in relevant, high-tech, industrial jobs coding in C or C++
    If you are interested in working in a high-energy, fast-moving company with leading-edge machine vision technology, strong values, a corporate culture unlike any other in the world, and the best industrial machine vision products available, please visit our website at www.cognex.com and apply online today.
    Patrick McMahon
    pat.mcmahon@cognex.com
  • Cognex Corporation
    Full-Time

    The Company: Cognex Corporation

    With more than 250 patents and the largest team of vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry.  But our innovation goes beyond technology we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field.  Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding.

    To continue to add to our successful journey, we are looking to add more talented and dedicated people to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a team of like-minded, smart and hard working men and women who work for a financially strong, global company that is the leader in the machine vision industry, then give us a call, because working at Cognex is not just a job….it’s and adventure!

      

    Job Summary:

    This team is seeking a talented, enthusiastic software engineer who has a passion for programming to join the Sensor Products software development team.  As a software engineer on our team, you will tackle challenging, complex machine vision problems and be responsible for the design and implementation of the next generation of algorithms that execute in real-time on embedded platforms.  

     

    Responsibilities:

    1. Participate in the design, implementation, improvement, and/or support of machine-vision algorithms.
    2. Write product quality code in C, C++, or machine assembly language.
    3. Profile and optimize machine vision algorithms to achieve high-performance solutions.
    4. Implement software on embedded platforms, such as DSPs.
    5. Participate in team planning, design discussions, and reviews.
    6. Develop tools, applications, demos, etc. to support deployment, development, and testing.
    7. Work with a development team consisting of other software, hardware, and mechanical engineers, and interface to other Cognex business units to capture specifications for real-world machine vision opportunities.

     

    Qualifications:

    1. Be undaunted by challenging problems.
    2. BS/MS in Math, Computer Science, or Engineering
    3. Professional experience developing and implementing machine vision algorithms for real-world applications.
    4. 8+ years of professional experience in C, C++.
    5. Well-versed in computer architectures.
    6. Excellent written and verbal communication skills.
    7. Assembly language programming is a plus.
    8. Experience with C# and .NET programming is a plus.
    Patrick McMahon
    pat.mcmahon@cognex.com
  • Nvidia
    Internship

    Nvidia has been climbing ladders with Mobile silicon for tablets and smartphones with its Tegra chips.
    The Kal-El (T30) announced at the MWC 2011 was the first quadcore chip to be introduced  for mobile and is a big success.  
    Following an aggressive strategy with the hardware , Nvidia is also foraying into Computer Vision for mobile as a field that can utilize all the processing power of the upcoming Tegra chips with intriguing applications. We are looking for passionate people for internship in the Mobile Computer Vision team.
    Exploring Computer vision and computational photography applications like gesture recognition , Augmented reality and other advanced camera and video camera functions that end users will be excited about using on their smartphones and tablets is a part of the research element at the team.
    The other part involves working on a blend of algorithms for these compelling mobile vision applications and their optimized development on the Tegra hardware making for an attractive demo.  All in all, it is a really exciting role working on Computer Vision algorithms and demoing it on cool tablets and smartphones.
    While applying include your CV's with references to your blog/websites that might speak of the work you've been doing in Computer Vision/ Computational Photography.
    Rohit Sethi
    rsethi@nvidia.com
  • Siemens Corporate Research
    Internship

     

    Internships - Siemens Corporate Research - NJ, USA 

     

    SCR has several immediate internship openings in the areas of Robust Computer Vision,

    Machine Learning, and Semantic Imaging. Our focus is to exploit large 

    collections of data to build robust vision applications. 

     

    You will have the opportunity to test your computer vision and machine 

    learning knowledge in a challenging problem-solving environment. You 

    will be encouraged to think out of the box, innovate and find solutions 

    to real-life problems. 

     

    Candidates should have C/C++ proficiency on MS Windows platform and a 

    strong knoledge of machine learning, statistics, and computer vision. 

     

    Siemens Corporate Research (SCR) is one of the world's premier research 

    labs for computer vision, medical imaging, and applied machine learning. 

    SCR is located in Princeton, USA, and provides a stimulating environment 

    for highly talented and self-motivated researchers. SCR excels in 

    transferring academic research into innovative products, and works in 

    close collaboration with clinical partners. The lab has more than 250 

    researchers and over 100 students involved in hundreds of University, 

    Clinical and Government collaborations. SCR is part of Siemens Corporate 

    Technology, a division comprising 2500+ research scientists in 

    Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo, Beijing, Shanghai, 

    Bangalore, St. Petersburg and Moscow. 

     

    Siemens is an Equal Opportunity Employer encouraging diversity in the 

    workplace. 

     

    Please forward your resume to: 

    terrence.chen@siemens.com  

     

    Terrence Chen
    terrence.chen@siemens.com
  • State University of New York at Buffalo
    Post-Doc

    PostDoc Position: IC Postdoctoral Fellowship program. See http://www.icpostdoc.org for more information.

    Research Area: Computer vision and social media analysis for alternative open source motion imagery.

    Project Description: Applications are invited for an open Postdoctoral Fellow Research Scientist position at SUNY at Buffalo, Department of Computer Science and Engineering, in the area of computer vision and social media analysis. Qualified candidates must have a Ph.D. in computer vision, machine learning, multimedia or related areas with outstanding research record and experience. The grant support will be 2 to 3 years. Successful candidates will conduct basic research and interact with the principal investigator, graduate students, and collaborators. The Computer Science department at SUNY Buffalo is among the oldest CS departments nationwide with a strong focus on computer vision, pattern recognition, smart environments, and machine learning. See http://www.cse.buffalo.edu/ for more information.

    Requirements: A highly qualified U.S. citizen who has recently graduated (or will be graduating by the fellowship start date) from an accredited Ph.D. program within the last five years and is interested in working as a Postdoctoral Fellow in SUNY at Buffalo, Department of Computer Science and Engineering.

    If you are interested in joining this research project as a Postdoctoral Fellow, please contact:

    Raymond Fu, Principal Investigator
    Department of Computer Science and Engineering
    State University of New York (SUNY) at Buffalo
    201 Bell Hall Buffalo, NY 14260-2000, USA
    Ph: +1 (716) 645 2670
    Email: yunfu@buffalo.edu
    Web: http://www.cse.buffalo.edu/~yunfu/

    Raymond Fu
    yunfu@buffalo.edu
  • School of Computing, University of Leeds
    PhD

    PhD Studentship

    Learning to Recognise Dynamic Visual Content from Broadcast Footage

    Mark Everingham, University of Leeds, UK

    Deadline: Open until filled

    Project Description:

    A PhD studentship is available as part of an EPSRC funded project on "Learning to Recognise Dynamic Visual Content from Broadcast Footage" being jointly undertaken by the University of Leeds (Mark Everingham), the University of Oxford (Andrew Zisserman), and the University of Surrey (Richard Bowden).

    The objective of the project is to develop automated tools that allow temporal visual content, such as a human gesturing, using sign language, or interacting with objects or other humans, to be learnt from standard TV broadcast signals using the transmitted annotation in the form of subtitles and annotation for the visually impaired as supervision. This requires the development of models of the visual appearance and dynamics of actions, and learning methods which can train such models using the weak supervision provided by the subtitles. Once the models have been learnt they can then be used without supervision, e.g. for sign language interpretation or automatic description of the content of video footage, and during the project demonstrators will be engineered for both of these applications.

    The student will focus on the development of visual descriptors and learning algorithms for sign language and action recognition in broadcast video.  S/he will be based in the School of Computing at the University of Leeds, and will be supervised by Dr Mark Everingham (http://www.comp.leeds.ac.uk/me/).

    Funding Notes: The studentship is funded by an EPSRC project studentship and will start from 1st October 2011 or as soon as possible thereafter. The studentship is funded for 3 years and covers Home/EU fees and maintenance at the standard EPSRC rate (currently £13,590 per annum). Applications are welcome from overseas students, but such students would have to provide the difference between the UK/EU and the overseas student rates for university fees from some other source, such as a scholarship or personal funds.

    Academic Staff Contact Details: Dr Mark Everingham. M.Everingham@leeds.ac.uk (for informal enquiries about the project only - do not send applications to this address).

    Entry Requirements: The PhD candidate should have or expect to obtain a first class or strong 2.1 honours degree in computer science, mathematics, or related discipline. The following qualities are desirable: demonstrable experience in computer vision or machine learning; excellent record of academic and/or professional achievement; strong mathematical skills; strong programming skills, especially C/C++ and Matlab; good written and spoken communication skills in English.

    Details on how to apply can be found at:

    http://www.leeds.ac.uk/rds/prospective_students/apply/I_want_to_apply.html 

    Application Procedure: Formal applications for research degree study must be made either on line through the University website, or on the University's application form. Detailed information of how to apply on line can be found at: http://www.leeds.ac.uk/students/apply_research.htm

    The paper application form is available at:
    http://www.leeds.ac.uk/rsa/prospective_students/apply/I_want_to_apply.html

    Please return the completed application form to the Research Degrees & Scholarships Office, University of Leeds, LS2 9JT.

    Please note, if you intend to send academic references we can only accept them if they are on official letter headed paper and contain an original signature and stamp; they must arrive in sealed envelopes.  Alternatively, the School will contact your named academic referees directly.

    Mark Everingham
    m.everingham@leeds.ac.uk
  • VSI Lab, Goethe University Frankfurt, Germany
    Post-Doc

    The Visual Sensorics and Information Processing lab (VSI) at Goethe University, Frankfurt, has two openings for either PhD student or post-doc positions for theoretical and experimental work in the Bernstein Focus Neurotechnology (BFNT) Frankfurt.

    The Neuroscience Group of the Frankfurt Institute for Advanced Studies (FIAS), and the VSI lab are the two main contributors to this large-scale research endeavour in the area of 'Vision in Man and Machine'.

     

    Research in the 'Frankfurt Vision Initiative' is part of the Bernstein Network of Computational Neuroscience funded by the German Federal Ministry of Education and Research (BMBF).

    The open PhD and post-doc positions are fully funded research positions covering the fields of:

    computational neuroscience, computer vision, machine learning and visual robotics.

    Our Bernstein Focus on Neurotechnology combines basic research in these fields to develop an integrated and autonomously learning vision system.

     

    We are looking for post-graduate students and post-docs who have graduated in computer science with a specialization in the subjects above or in related fields such as physics, mathematics, electrical engineering.
    In general, candidates are required to have a strong analytical background and solid programming skills. Good communication skills in English (oral and written) are essential.

     

    See http://www.bfnt-frankfurt.de/jobs/ for detailed job descriptions and how to apply.

    Rudolf Mester
    applications@vsi.cs.uni-frankfurt.de
  • BAE Systems, Burlington, MA (was ALPHATECH)
    Full-Time

    Full-time Computer Vision Researcher or Intern Position at BAE Systems in Boston, MA

    We seek multiple candidates proficient in Computer Vision/Image Processing algorithm development with a minimum of 1 year experience. You must be familiar with major aspects of CV technology, as well as have experience innovating, implementing and testing algorithms on data using MATLAB/C++.  

    You should have experience with a majority of the following: video/image processing, object tracking, mover detection, image rectification, segmentation, and an enthusiasm for developing novel scientific algorithms. Minimum Master’s degree in a related field preferred. Experience with advanced C++ concepts, standard libraries, MATLAB and scripting languages is a plus. Good oral and written communications skills and an ability to work as part of a team are required. Strong skills in sensor modeling, detection, classification, tracking, calibration, pattern classification, machine learning, and projective geometry basic concepts a plus.

    The ability to qualify for a DoD Security Clearance is necessary therefore US CITIZENSHIP IS REQUIRED. 


    ABOUT US

     

    The All Source Exploitation Division develops cutting edge algorithms and software for signal processing and computer vision applications. Our technologies include robust feature extraction, multi-modality image registration, coherent and non-coherent change detection, innovative 2-D and 3-D object recognition, 3D reconstruction, and intelligent video monitoring. We specialize in applying these technologies to real-world decision-making problems, and developing solutions that provide high performance in practical implementations.


     

    WILL BE ATTENDING CVPR, contact me at contact address listed below or email me anytime.

    Dr. Christopher Stauffer
    Chris Stauffer's gmail.com address: thestauffer
  • Apple
    PhD

    The CoreRecognition Engineering team has an opening for a candidate well versed on state-of-the-art vision and pattern recognition algorithms. 

    The team is responsible for iOS and Mac OS X system code that implements statistical pattern recognition solutions. We are seeking an engineer who will be responsible for developing new features, contributing to overall design and architecture of the components, as well as fixing bugs. The ideal candidate has experience in vision and statistical methods, preferably in the context of handwriting or text recognition. Extensive benchmarking and testing on large datasets is another factor for success.

    Key Requirements:
    * PhD in computer science or equivalent.
    * Strong object oriented programming, debugging and design skills.
    * Ability to manage several concurrent projects.
    * Ability to work independently and with others.
    * Excellent problem solving, critical thinking, and communication skills.
    * Ability to think out-of-the-box and find innovative solutions.

    Additional Success Factors:
    * Knowledge of any of the following approaches: vision, machine translation, decision tree's, support-vector machines, finite-state networks, user-adaption.
    * Experience in analyzing performance issues and familiarity with performance tools.
    * Good knowledge of C++ and Unix/Linux.

    Jennifer Rakow
    rakow@apple.com
  • IPPLEX
    Internship

    IPPLEX researches and develops pioneering cross-platform applications and services focused on interactive communication – between people and the information, contacts and places they need to access through their mobile phone, PC, and other devices. Our global and diverse team of engineers, scientists, and researchers with world-class expertise in video conferencing, object recognition, object tracking, and augmented reality is committed to continuous innovation and fostering an entrepreneurial culture that will accelerate the commercialization of our revolutionary technologies.

    IPPLEX is the recipient of multiple grants from the National Institutes of Health (NIH) and National Eye Institute (NEI), and our products have won multiple awards including 1st place at the 2010 CTIA E-Tech Awards. Our latest product release, LookTel Money Reader for iPhone, leverages our real-time recognition capabilities to enable users with visual impairments or blindness to instantly recognize dollar bills. It has been recognized by the New York Times, Engadget, and several other major publications.

    Find more information about IPPLEX or to see our technologies in action, please visit our website at http://www.ipplex.com 


    Position Hiring:  Computer Vision Research Intern

    We are looking for motivated individuals to join our computer vision group in extending our capabilities in the computer vision space. Candidates should have state-of-the-art computer vision know-how and deep understanding of recognition and tracking problems in object recognition, image registration, panoramic stitching, stereo vision, structure from motion, etc.

     

    Here's a sample of the problems you may be working on during your internship with us:

    - Work on the next generation of augmented reality apps utilizing gyro, compass, and GPS

    - Research and build out a content management backend capable of handling millions of items in the database for real time recognition.

     

    Who we are looking for:

    - Experience in any of the following fields: Object recognition, tracking, localization, text detection and recognition (OCR), barcode processing, structure from motion, linear algebra, 3D geometry.

    - Experience in mobile robotics (with topics such as 2D/3D SLAM or tracking) and with camera systems (calibration, real-time vision) is a plus.

    - Machine Learning experience is a plus.

    - EE signal processing experience is a plus.

     

    Requirements

    - Proven coding experience with C/C++

    - Hands on experience working and developing vision systems beyond MATLAB and coding actual products

    - Ability to work in our Los Angeles offices.

     

    To apply, please send us an email with the job position in the subject line along with a personal note telling us about who you are, what you’ve been doing, and what makes this job appealing to you. Include a resume, salary requirements, and some links to things you’ve done to jobs@ipplex.com. EEO

    No recruiters/agencies please 

    Phillip Yang
    jobs@ipplex.com
  • Siemens Corporate Research
    Internship

    Siemens Corporate Research (SCR) in Princeton, New Jersey, USA, has an immediate 3-6 month internship opening in the areas of medical image analysis. Our focus is to exploit large collections of data to build robust organ segmentation applications. Our interns have an opportunity to test their knowledge in a challenging problem-solving environment. They are encouraged to think out of the box, innovate and find solutions to real-life problems.

    Candidates must be proficient in C++. Project experience and interest in computer vision, pattern recognition, image processing, and software engineering is a plus. Students all over the world are welcome to apply and join our dynamic international group of interns.

    SCR is one of the world's premier research labs for computer vision, medical imaging, and applied machine learning. SCR is located in Princeton, USA, and provides a stimulating environment for highly talented and self-motivated researchers. SCR excels in transferring academic research into innovative products, and works in close collaboration with clinical partners. The lab has more than 250 researchers and over 100 students involved in hundreds of University, Clinical and Government collaborations. SCR is part of Siemens Corporate Technology, a division comprising 2500+ research scientists in Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo, Beijing, Shanghai, Bangalore, St. Petersburg and Moscow. Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.

     

    Please send your resume to Dr. Jingdan Zhang:

    Subject: [intern] YourFirstName YourLastName

    Indicate availability dates in the message body. Starting and ending dates are negotiable.

    Jingdan Zhang
    Jingdan.Zhang@siemens.com
  • KLA-Tencor Corp.
    PhD

    KLA-Tencor Corporation - New College Graduate Job Opening
Computer Vision Engineer

    SUMMARY: KLA-Tencor provides high speed vision inspection systems to the semiconductor industry. The software to drive these systems is large (2M+ LOC) and complex. The hardware tends to push the state of the art in sensing technology, optics (deep UV and lasers, high Strehl ratio, high magnification systems), and opto-mechanical stages.  In addition, we ship a significant high performance compute cluster with each tool.  These compute clusters run high performance (SSE vectorized, cache aware strip mined, all cores running) image processing software.  
 
We have an opening for a hands-on research scientist who will be working on developing state of the art algorithms for new markets in Computer Vision. The person will be working in KLA-Tencor’s CTO research group along with other members who have numerous years of experience in Physics, Image Processing, AI, HPC and related areas.
 

     

    CANDIDATE BACKGROUND/REQUIREMENTS: The ideal candidate will have a PhD or MS in Computer Vision or a related area in AI, Image Processing, Machine Learning or Robotics. It is expected that the candidate has a broad ability to think from first principles while also having in depth knowledge in one of these areas. New College Graduates (experience less than 2 years since graduation) are encouraged to apply.
 
Potential areas of specialization/experience include:
 
    

    *) Computer Vision, 2D & 3D object detection & recognition techniques

    * ) Modern Machine learning Techniques ( SVMs, Bayesian Networks etc.)
    

    *) Statistical Image Processing
    

    *) Algorithm optimization (both high level and low level)
    

    *) Parallel Processing
     

     

    Candidates should be capable of evaluating different algorithmic approaches to extract information from a variety of  image and non-image data and use such information effectively in developing computer vision applications. An ability to interact with end-users with fuzzily-defined problems and help them refine their requirements and map them into cost-effective implementations would be an important plus. Candidates would interact with a team of code-optimization specialists and systems engineers to develop prototypes of actual systems and evaluate their real-world performance.
 
The ideal candidate will be able to develop algorithms at a high level (e.g. MATLAB), but have a view into possible implementations to make the systems cost-efficient. This involves understanding hardware capabilities and costs, and balancing hardware and software usage for system performance and cost optimization.

    Eliezer Rosengaus
    eliezer.rosengaus@kla-tencor.com
  • CNRS
    Post-Doc

     

     

    Grant : ERC Starting Grant                    http://erc.europa.eu 

    Lab : LSIIT, Strasbourg, FRANCE        http://lsiit-miv.u-strasbg.fr/miv 

     

     

    Temporal Analysis of  in Utero Fetal Brain Images

     
    In this project, we focus on exploring fetal brain maturation and more particularly brain morphology evolution and degree of myelination changes using anatomical MRI (T2-weighted images) and Diffusion Tensor Imaging (DTI).
    The goal is to develop realistic models of fetal brain maturation from MRI in utero data. An elegant solution to build these models is to rely on statistical atlases generated from relevant features extracted from multimodal MR data. Statistical brain atlases provide a representation of average anatomy and a range of anatomical variation within a particular population. Such atlases are of great interest for the medical community since it describes normal anatomy in a compact form and it can be easily usable for medical studies. To achieve this goal, the atlas building has to capture mean shapes and normal variability of fetal anatomy.


    Profiles


    The candidate should be familiar with image processing and applied math.

    The candidate must also have excellent knowledge of C++ and should be fluent in English.


    Application

     

    Please send a CV, a brief research statement to rousseau@unistra.fr 

      François Rousseau

    CNRS Research Scientist

    LSIIT, MIV group

    Francois Rousseau
    rousseau@unistra.fr
  • Convergent Medical Solutions
    Other

    Convergent Medical Solutions develops technological solutions to pressing medical problems. We are looking for a junior software engineer for a six-month part-time contract position to prototype a content-based image retrieval system for a medical image database. As part of a small team, you will be responsible for:

    • Developing a GUI that includes live video display, image capture controls, basic image annotation, and browsing of image results

    • Developing camera interface code

    • Developing a framework for system accuracy evaluations

    • Maintaining image databases used for system evaluations

    The position requires a solid background in developing C++ and Matlab software, in particular for GUI development. Any hands-on experience with computer vision is a plus, such as using OpenCV. Candidates must possess strong verbal and written skills to document all technical results and support business development efforts. We are open to remote work arrangements, but the ideal candidate would be located in the Boston area.

     

    Interested applicants can set up an interview at CVPR by sending an email with their resume to magnus at smartsystemsconsulting dot com.

    Magnus Snorrason
    magnus at smartsystemsconsulting dot com
  • Convergent Medical Solutions
    Other

    Convergent Medical Solutions develops technological solutions to pressing medical problems. We are looking for a computer vision scientist for a six-month part-time contract position to prototype a content-based image retrieval system for a medical image database.

     

    As part of a small team, you will be responsible for:

    • Supporting system architecture design
    • Identifying cutting-edge algorithms for image enhancement & segmentation, feature extraction, indexing, and matching with novel query images
    • Implementing an end-to-end prototype of the algorithm suite
    • Conducting accuracy evaluations and advising on corresponding algorithm enhancements

    The position requires strong research skills in computer vision, proven by a record of peer-reviewed publications. We require a solid background in programming mathematical algorithms in Matlab and C++ (experience using OpenCV is a plus). Candidates must possess strong verbal and written skills to document all technical results and support business development efforts. We are open to remote work arrangements, but the ideal candidate would be located in the Boston area.

     

    Interested applicants can set up interviews at CVPR by sending an email with their resume to magnus at smartsystemsconsulting dot com.

    Magnus Snorrason
    magnus at smartsystemsconsulting dot com
  • University of Texas at Austin
    Post-Doc

    Postdoc position

    University of Texas at Austin
    Department of Computer Science
    Computer Vision Group

    http://www.cs.utexas.edu/
    http://www.cs.utexas.edu/~grauman/

    Start date: by September 2011

    Qualifications:
    - Computer vision and machine learning background
    - Strong publication record in computer vision or machine learning conferences
    - Some background in video analysis, retrieval, activity and/or object recognition preferred.

    If interested, please email Kristen at vision.utaustin@gmail.com and include
    - CV
    - Pointers to two selected recent papers
    - Names of two references

    Kristen Grauman
    vision.utaustin@gmail.com
  • Bioinformatics Institute, Singapore
    Internship

    We are seeking applicants for several 3-6 months research

    internships in computer vision / machine learning. The ideal

    candidate is expected to be a top-notch Master or undergrad

    student in computer science/engineering/mathematics disciplines

    and is about to gradate. We are particularly interested in

    applicants having backgrounds in computer vision and machine

    learning. The intern is expected to develop vision/learning

    algorithms that will turn into either a top conference or

    journal paper.

     

    About Us: We are a multi-disciplinary research group working on

    computer vision and machine learning with applications in

    biological and medical studies. Bioinformatics Institute, is

    located in a research hub involving numerous academic and

    corporate institutions, in the beautiful city nation of

    Singapore.

    Li Cheng
    chengli@bii.a-star.edu.sg
  • Ogmento
    Full-Time

    We will be attending CVPR.
    If you like to meet please contact Chris at: cbroaddus _[at]_ ogmento.com

    Also find this job post with links to our games at:

    http://ogmento.com/misc/Senior Software Engineer – Computer Vision.pdf

     


    Ogmento is developing and publishing cutting edge Augmented Reality games. We
    are looking for highly talented Computer Vision engineers to join our R&D team.

    Candidate must have a proven record of developing and delivering new
    technologies as part of a dynamically growing platform supporting multiple
    products.

    Join Ogmento and develop Augmented Reality games! Get to work with a talented
    team on cutting-edge technologies, continuously pushing the limits of mobile
    phones. 


    Responsibilities:

    • Researching, designing, developing and testing Computer Vision technologies
    • Designing, developing, and integrating a rapidly growing Augmented Reality
    • software platform for mobile phones
    • Delivering Augmented Reality game experiences based on our technologies and
    • platforms

    Required Skills:

    • 5+ years of experience in Computer Vision in the areas of object detection, tracking
    • and image stabilization.
    • Good communication and leadership skills
    • Experience with mobile phones is an advantage
    • Master in Computer Science or Software Engineering

    How to Apply:
    Please send you Resume/CV by email to jobs@ogmento.com with the subject:
    R&D CV TALENT.

     

     


    Oriel Bergig
    jobs@ogmento.com
  • Evolution Robotics
    Full-Time

    Robotics and Vision Scientist

    Evolution Robotics Employment Opportunity Profile

       - Title:   Robotics and Vision Scientist
       - Reports to:       VP of Research and Development

    The Company:

    Evolution Robotics, Inc. is a robotics company that develops breakthrough technologies that revolutionize robotics for the mass market.  The recent convergence of low-cost mobile computing, wireless communication, and sensing technologies has not only made the development of mobile robotic products possible, but also economical for mainstream usage.  Evolution Robotics develops innovative solutions for making machines sense and act autonomously.  We partner with consumer electronics companies to augment the capabilities of their products, such as the Sony AIBO(r) entertainment robot or WowWee robotic toys, or create entire new robotic products such as the Mint robotic mop and duster.

    Evolution is a recognized leader in industrial and academic communities.  The company has assembled a world-class management team composed of leading robotics experts and consumer products business leaders to make the company's vision of providing useful robots at affordable prices a reality.  The Evolution Robotics team operates in a highly dynamic and very collaborative environment where the flow of ideas is encouraged from all parts of the team. The team of extremely talented engineers and scientists at Evolution has created a unique, highly stimulating, and fun work environment. This team challenges the status quo in technology and pushes the envelope on what may seem impossible.

    Evolution Robotics is an operating company of Idealab!, a technology incubator known for having started many successful companies including Overture, CitySearch, and eSolar. We are located in beautiful and sunny Pasadena, in Southern California. Hosting scientific institutions like the California Institute of Technology and the Jet Propulsion Lab, and national events like the annual Tournament of Roses, the city is considered the main cultural center of the San Gabriel Valley.

    Find more information about Evolution Robotics at our website and see our technologies in action on YouTube.

    Position Purpose:
    Design, implement, test and document robotics and vision algorithms in C and C++ on Linux/Windows and on embedded platforms. One of the main focuses of the position is the development of novel vision-based algorithms for mobile robotics navigation, particularly vision-based navigation and vision-based SLAM. Another main focus is the design of state-of-the-art algorithms for fusion of vision and dead-reckoning information. Particular emphasis is placed on embeddable algorithms for consumer applications.

    Requirements:

    • A solid engineering background with hands-on experience designing and developing robotics and/or vision systems.
    • Understanding of and experience with any of the following: object recognition, structure from motion, 3D reconstruction, ego-motion estimation, feature extraction and matching, face recognition.
    • Strong analytical skills and mathematical foundation.
    • Good understanding of computer systems.
    • Minimum of 3 years experience in algorithm implementation using C and C++.
    • Excellent verbal and written communications skills.
    • Ability to work independently, without direct supervision.
    • Strong problem solving skills and ability to learn quickly.
    • Minimum Degree: PhD in Computer Vision, Robotics, or related field.

    Nice to have:

    •  Understanding of and experience with any of the following: behavior-based control, navigation, path-planning, obstacle avoidance, SLAM, vision-based SLAM, estimation and control.
    •  Image processing experience including image sensors and image acquisition familiarity.
    •  Embedded programming experience.
    •  Algorithm development with Matlab.
    •  Ability to build/assemble/modify electronic assemblies or robots into various configurations for test purposes.

    Interested candidates should submit their resume and salary history to: careers@evolution.com

    An Equal Opportunity Employer

    Mario E. Munich
    careers@evolution.com
  • SRI International Sarnoff
    Full-Time

    SRI International Sarnoff (formerly Sarnoff Corporation) is one of the largest Industrial R&D and Commercialization entities in the World in the area of Computer Vision and Video Technologies. The Vision Technologies Center, comprised of the Vision & Robotics, Vision & Learning, and Embedded Vision Labs works in technologies and applications covering the spectrum from low-level vision, to high-level vision. We pride ourselves in pushing the frontiers of R&D in Video and Vision Technologies with the goal of “making Vision work in the real world”. If you dream of making robots see, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI-Sarnoff may be the place for you.
     
    SRI Sarnoff has a variety of technical staff positions currently open in the following areas:
     

    • Applied Vision
    • Computer Vision
    • Vision Algorithms
    • Video Surveillance
    • Visual and Multi-Modal Data Mining/Pattern Analysis
    • Vision & Learning Algorithms and Systems
    • Vision Systems
    • Perception for Robotics
    • Robotics 
    • Multi-Modal Event & Activity Analysis

     
    If you are interested in applying for a position with SRI Sarnoff, please visit the
    Careers section of our website at www.sri.com and complete your profile.
     
    Some of our SRI Sarnoff colleagues will be attending CVPR, 2011 in Ft. Collins, CO. Interested applicants can set up meetings at CVPR by sending email and their resumes to harpreet.sawhney@sri.com.

    Erica Saunders
    erica.saunders@sri.com
  • McGill University
    Post-Doc

    **Deadline for applications is open. Please disregard April 30 deadline in previous post.

    Virtual Presence and Interaction - Shared Reality Lab - Department of Electrical and Computer Engineering

    McGill University, Montreal

    Professor Jeremy Cooperstock

    The Shared Reality Lab is seeking applications for a 1-year (renewable for a second year) postdoctoral fellowship in the Department of Electrical and Computer Engineering at McGill University, available to start immediately.

    The research involves an emphasis on image and video processing, and high-fidelity distributed communication, with applications to performing arts in the context of the "Enhanced Virtual Presence and Performance" project. As part of this work, we are also collaborating with international researchers in developing the tools and technologies to support a multi-site opera performance, integrating distributed opera singers, orchestra, and audience members. Research challenges include suitable use of signal acquisition and display technologies that support the highly dynamic environment of an artistic performance and afford the most engaging experience for both performers and audience, strategies for compensating for network latency, and evaluation of the resulting experience. A summary of some of the relevant issues can be found in Multimodal Telepresence Systems.

    Application Criteria: Candidates will have completed a Ph.D. in Computer Science or Electrical and Computer Engineering, with an emphasis in Multimedia, Computer Graphics, or Human-Computer Interaction. The successful candidate must have evidence of independent and teamwork abilities, excellent organizational and communication skills, a solid publication record, very strong programming skills in C and familiarity with Linux. Additional skills in one or more of the following areas will be considered as valuable assets:

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    • computational photography and video manipulation
    • particle filters and related statistical modeling techniques
    • affective computing
    • interaction design

    To apply: Please send the following information to sre-jobs [at] cim [dot] mcgill [dot] ca:

      /sites/all/themes/light/images/arrow.gif); margin-top: 5px; margin-right: 10px; margin-bottom: 5px; margin-left: 2px; font-family: verdana; font-size: 10px; padding: 1em;">

    • A brief letter of application, clarifying the projects area(s) of interest and fit to the area(s)
    • A curriculum vitae which includes full contact information
    • List of publications with links to pdf-versions of the three most relevant publications

    Applications will be evaluated as they are received and prospective candidates will be contacted for interviews.

    For more information, please see:

    Professor Jeremy Cooperstock
    sre-jobs@cim.mcgill.ca
  • Applied Research Associates
    Full-Time

    Image Processing Research Scientist

     (SED-2011-123)

    Applied Research Associates, Inc. (ARA), a national leader in scientific and engineering research and development, is seeking a Image Processing Research Scientist to join our Information Exploitation Group in Raleigh, NC. This position requires a thorough understanding of the state of the art methodologies and practices in image processing/computer vision. The position will involve the following technology areas: (1) real-time image geo-registration, (2) object tracking (3) video enhanced navigation, and (4) hardware and software prototyping for enhancing and interpreting EO/IR surveillance video. This work will support ARA’s rapidly growing defense intelligence business area in ISR.

    Qualifications:

    Ø  MS or PhD in Computer Science or Electrical Engineering, with particular emphasis in Computer Vision. PhD desired.

    Ø  MS degree holders must have a minimum of 7 years of demonstrated expertise. PhD degree holders must have minimum of 3 years of demonstrated experience (i.e. dissertation, published research, patents, and/or prototyped system) in at least one of the following: video object tracking, real-time image stabilization and georegistration, EO/IR surveillance video understanding.

    Ø  Expert-level image processing / computer vision algorithm development expertise, strong proficiency in C/C++ and Matlab. Candidate must be able to design and develop code as part of a fast pace software development team.

    Ø  Demonstrated knowledge of experimental methods, measurement instrumentation, test planning, data collection, and sensor hardware system design related to the technologies cited above are significant pluses.

    Ø  Exceptional oral presentation and written communication skills.

    Ø  Strong technical writing skills: proposals, conference proceedings, publications in peer reviewed journals.

    Ø  Experience with sensing applications for Gov’t agencies are pluses.

    Ø  Candidate must have or be able to obtain a DoD Security Clearance

     

    COMPANY INFORMATION:

    Applied Research Associates, Inc. is a rapidly growing technology services company with an excellent national reputation and more than thirty year history of sustained growth. Our culture supports career growth and rewards innovation, self-motivation, and technical excellence.

    ARA offers competitive salaries and outstanding benefits including stock ownership, medical and dental coverage, long-term disability insurance, life insurance, a combination 401(k) profit sharing and money purchase pension plan, annual bonuses, and professional development programs.

    ARA is an EEO/AA employer

    To apply please go to http://www.ara.com/Careers/ara-job-search.htm and put the job code SED-2011-123 into the “search” box.

    Christine Heneghan Director of Recruitment, SSM Sector
    cheneghan@ara.com
  • United Technologies Research Center
    Internship

    Research Intern on Computer Vision and Machine Learning

      

     

    The video team at the United Technologies Research Center (UTRC ) has an immediate three-month intern opening in the area of Computer Vision and Machine Learning. Longer period may be possible as necessary.

     

    The candidate is expected to work effectively in a multidisciplinary, multinational team environment focused on innovation, and develop state-of-the-art algorithms for object/event recognition, with minimum guidance of UTRC technical staff. The outcome could be papers in top conferences or journals in Computer Vision.

    Required:

    o         Outstanding track records in object detection and tracking, object recognition, and/or activity and event recognition.

    o         Has strong background in machine learning/mathematics, and is familiar with recent development in Compressive Sensing

    o         M.S./Ph.D candidate in Computer Science,  Electrical or Computer Engineering.

    o         Quick prototyoping using Matlab or C/C++

      

    Please contact: Dr. Hongcheng Wang by wangh1 AT utrc.utc.com

    Hongcheng Wang
    wangh1@utrc.utc.com
  • KLA-Tencor Corporation
    Full-Time

    Applications are invited for a Senior Algorithms Engineer in image processing
    and machine vision at one of KLA-Tencor's wafer inspection division. It is an
    exciting opportunity to contribute in the research and development of
    cutting edge inspection and metrology technology and make a significant
    impact in a multi-billion dollar industry.
    Responsible for development of advanced wafer inspection algorithms. Strong system-oriented approach to problem solving is required.
    The job includes investigation, design, implementation, optimization, documentation, and characterization of algorithms. The job requires collaboration with marketing/applications to understand customer challenges and help define solutions. It may also required various degrees of system modeling and system level characterization.

    Qualifications/Education Desired 
    Semiconductor industry experience highly desirable.
    Strong background and experience image/signal processing algorithms, pattern recognition, and real time image processing on distributed computer systems.
    Software skills: C/C++, Matlab/Mathematica/IDL, OOD/OOP. Windowsand Linux. Optimization skills on SSE/AltiVec highly desirable.
    Good verbal & written communication needed.

     

    Basic Qualifications 
    Bachelor's Level Degree with at least 5 years of experience.
    OR
    Master's Level Degree with at least 4 years of experience.
    OR
    Doctorate (Academic) with at least 2 years of experience.

     

    Kindly send your resumes to anand.venugopal@kla-tencor.com

    Anand Venugopal
    anand.venugopal@kla-tencor.com
  • OculusAI Technologies AB
    PhD

     

    Driven and ambitious Computer Vision Scientist wanted!

    OculusAI is a computer vision company sprung out of cutting edge academic research within object recognition. Through unique and proprietary technology, OculusAI offers websites to easily and efficiently quality assure the huge and increasing amount of user-generated content uploaded every day. Stockholm-based OculusAI is an exciting company, already one of the most promising startups in our field. This means a chance to work with the latest technology and the creative people behind it. You will get the chance to be part of the future success of an open organization.


    Basic purpose and objective

    OculusAI is currently seeking a computer vision scientist to join our dedicated computer vision team consisting of devoted engineers and scientists. We are looking for the brightest and most talented employees, and welcome candidates who have a strong desire to make a huge impact with their work. As a startup we are a small and dynamic organization and we encourage excellence at all levels. Candidates should have a creative mindset, be able to build quick prototypes as well as production level code.

    Job Description

    You will take an active role in shaping the company and the technology on which we are based on. Furthermore, you will be expected to take a hands-on leadership role in the research and development team, supervising our junior researchers and algorithm developers. You will also

    be expected to:

     

    • Develop, implement, and test different solutions to a large set of problems in computer vision including object detection/ recognition for image and video, and image/ video retrieval.
    • Stay current with advances in the field, and improving existing algorithms or inventing new ones to solve specific problems.

    • Supervise our junior researchers and Ph.D. Students.

    Work with our software engineers to integrate the algorithms into the final product.


    Requirements and skills

    • Ph.D. in Computer Science, Electrical Engineering, or related fields with 5 or more years of hands-on work or research experience.
    • You should have a very strong background in image processing and vision gained in industry or research and experience from developing systems and novel algorithms.

    • Track record from performing and leading original research in computer vision and its applications.

    • Previous experience in a research position will be welcome, particularly research fellowships and publications in industry recognized journals.

    • You will have strong mathematical ability and some hands on experience programming in C/C++ and Matlab.

    • Excellent written and oral communication skills.

     

    Job Description

    OculusAI is based in Stockholm, Sweden and encourage qualified applications from individuals who are willing to relocate to Stockholm.

     

    Contacts

    Applicants should send a CV and any relevant information to CTO Babak Rasolzadeh babak@oculusai.com or call +46 73 654 99 29.

     

    www.oculusai.com

     

     

    Babak Rasolzadeh
    babak@oculusai.com
  • Vital Images, Inc.
    Full-Time

    COMPANY OVERVIEW:

     

    Vital Images, Inc. is a market leader in advanced visualization software solutions for physicians and healthcare specialists. The company's sophisticated technology gives radiologists, cardiologists, oncologists and other medical specialists productivity and communications tools that can be accessed throughout the enterprise and via the Web, anytime, anywhere to improve patient diagnosis and outcomes.  Vitrea® software is utilized at more than 4,000 hospitals in over 80 countries. Established in 1988 and headquartered in Minneapolis, Vital Images also has offices in Europe and Asia. For more information, visit www.vitalimages.com.

     

    BASIC PURPOSE AND OBJECTIVE:

     

    We are looking for a scientist to join our world-class image analysis team of scientists and algorithm developers. Your role will be to apply pattern recognition and machine learning techniques to a wide variety of interesting problems in medical imaging. The algorithms you develop will be an integral part of one of the most advanced medical image analysis software products in the industry.

     

    OVERALL OUTPUTS, DUTIES AND RESPONSIBILITIES:

     

    Your duties will be to develop, implement, and validate solutions to problems that deal with medical volumetric image data. Typical problems include identification and segmentation of certain organs or parts of organs, detection of abnormalities, rigid and non-rigid registration, and analysis of temporal data. You will also be expected to implement well-designed and efficient low level algorithms and libraries. You will be expected to provide a great deal of help in ideas and implementation to other team members. You will be expected to be able to break down the solution into smaller manageable tasks with a quick implementation and verification time. You will also be expected to work with other software engineers to integrate the algorithms into the final product.

     

    ORGANIZATIONAL RELATIONSHIPS:

     

    Reports to: Manager, Image Analysis

     

    EDUCATION AND EXPERIENCE REQUIREMENTS:

     

    MS in CS or related field and 5+ years of experience in research in relevant topics. PhD in CS preferred.

     

     

     

    SKILLS AND OTHER REQUIREMENTS:

     

    ·         Strong C++ object oriented programming skills; strong understanding of data structures and complexity; strong debugging and optimization skills. Strong experience in Matlab programming is a plus.

    ·         Strong algorithm development skills; working knowledge of a wide range of general algorithms.

    ·         Demonstrable knowledge and a 5+ years of experience in computer vision, pattern recognition and machine learning techniques.

    ·         Strong background in PDEs and level set methods preferred.

    ·         Solid background in Mathematics, especially in probability, statistics, geometry, calculus, and linear algebra.

    • Experience in parallel programming, multithreading, OpenMP, SSE, preferred.
    • Excellent communication skills.

    ·         In addition, the ideal candidate should have…

    o   a high level of creativity in coming up with different approaches in solving problems;

    o   a strong tendency to exhaust all possibilities of exploring ways to adapt, modify, and tailor an approach before discounting it;

    o   a very good sense of how an algorithm should be tested;

    o   the ability to be quick in producing code for verification and proof-of-concept experiments using Matlab and C++;

    o   a strong desire to help others.

     

    PHYSICAL REQUIREMENTS:

    Must be able to lift up to 50 lbs. No unusual physical requirements

    WORKING CONDITIONS:

    Regular business hours are Monday through Friday, 8:00 a.m. to 5:00 p.m. Hours can vary and expand as dictated by project demands.

     

    We are an Equal Opportunity/Affirmative Action Employer M/F/D/V

    Recruiting Department
    recruiting@vitalimages.com
  • IPPLEX
    Full-Time

    The Company:

    IPPLEX researches and develops pioneering cross-platform applications and services focused on interactive communication – between people and the information, contacts and places they need to access through their mobile phone, PC, and other devices. Our global and diverse team of engineers, scientists, and researchers with world-class expertise in video conferencing, object recognition, object tracking, and augmented reality is committed to continuous innovation and fostering an entrepreneurial culture that will accelerate the commercialization of our revolutionary technologies.

    IPPLEX is the recipient of multiple grants from the National Institutes of Health (NIH) and National Eye Institute (NEI), and our products have won multiple awards including 1st place at the 2010 CTIA E-Tech Awards. Our latest product release, LookTel Money Reader for iPhone, leverages our real-time recognition capabilities to enable users with visual impairments or blindness to instantly recognize dollar bills. It has been recognized by the New York Times, Engadget, and several other major publications.

    Find more information about IPPLEX or to see our technologies in action, please visit our website at http://www.ipplex.com 


    Position Hiring:   

    Computer Vision Engineer (Multiple Positions)

     

     

    Overview:

    - We are looking for motivated individuals to join our computer vision group in extending our capabilities. Candidate should have state-of-the-art computer vision know-how and deep understanding of recognition and tracking problems in object recognition, image registration, panoramic stitching, stereo vision, structure from motion, etc.

    - Specifically projects require work in the following fields: object recognition and tracking, localization, text detection and recognition, barcode processing

    - Experience in mobile robotics (with topics such as 2D/3D SLAM or tracking) and with camera systems (calibration, real-time vision) is a plus.

    - Machine Learning experience is a plus.

    - EE signal processing experience is a plus.

     

    Requirements:

    - Hands on experience working and developing vision systems

    - MSc, PhD, or excellent relevant work history (3-5 years)

    - Proven coding experience with C/C++

    - Ability to solve difficult vision problems and to push forward the development of the core recognition algorithms with your ideas. Skill to analyze and improve algorithms

     

    To apply, please send us an email with the job position in the subject line along with a personal note telling us about who you are, what you’ve been doing, and what makes this job appealing to you. Include a resume, salary requirements, and some links to things you’ve done to jobs@ipplex.com  EEO

    No recruiters/agencies please 

    Phillip Yang
    jobs@ipplex.com
  • Shared Reality Lab, Centre for Intelligent Machines, McGill University
    Post-Doc

    Postdoctoral Fellow in Virtual Presence and Interaction at McGill

    Virtual Presence and Interaction - Shared Reality Lab - Department of Electrical and Computer Engineering

    McGill University, Montreal

    Professor Jeremy Cooperstock

    The Shared Reality Lab is seeking applications for a 1-year (renewable for a second year) postdoctoral fellowship in the Department of Electrical and Computer Engineering at McGill University, available to start immediately.

    The research involves an emphasis on image and video processing, and high-fidelity distributed communication, with applications to performing arts in the context of the "Enhanced Virtual Presence and Performance" project. As part of this work, we are also collaborating with international researchers in developing the tools and technologies to support a multi-site opera performance, integrating distributed opera singers, orchestra, and audience members. Research challenges include suitable use of signal acquisition and display technologies that support the highly dynamic environment of an artistic performance and afford the most engaging experience for both performers and audience, strategies for compensating for network latency, and evaluation of the resulting experience. A summary of some of the relevant issues can be found in Multimodal Telepresence Systems.

    Application Criteria: Candidates will have completed a Ph.D. in Computer Science or Electrical and Computer Engineering, with an emphasis in Multimedia, Computer Graphics, or Human-Computer Interaction. The successful candidate must have evidence of independent and teamwork abilities, excellent organizational and communication skills, a solid publication record, very strong programming skills in C and familiarity with Linux. Additional skills in one or more of the following areas will be considered as valuable assets:

    • computational photography and video manipulation
    • particle filters and related statistical modeling techniques
    • affective computing
    • interaction design

    To apply: Please send the following information to sre-jobs [at] cim [dot] mcgill [dot] ca:

    • A brief letter of application, clarifying the projects area(s) of interest and fit to the area(s)
    • A curriculum vitae which includes full contact information
    • List of publications with links to pdf-versions of the three most relevant publications

    Applications will be evaluated as they are received with priority given to applications received by April 30. A short-list of prospective candidates will be contacted for interviews.

    For more information, please see:

     

    Jeremy Cooperstock
    sre-jobs@cim.mcgill.ca
  • A9.com
    Full-Time

    A9.com, the search technology subsidiary of Amazon.com, is looking for a highly motivated senior engineer interested in enhancing A9's technology and products in visual search. Our Visual Search team is focused on creatively working with advanced technologies to leverage our vast catalog of images in ways that will dramatically improve our customer’s search experience. Your job duties will include everything from investigating important and unsolved problems in visual search to implementing, testing, and deploying full solutions in a production environment. We are seeking innovators who are committed to creating world-class products.

    Requirements:

    • Ph.D. in Computer Science or related field, or a Master's degree with equivalent industry experience
    • Domain expertise in computer vision or image processing. Machine learning, information retrieval, or data mining is a plus. Specific skills in object detection, recognition, and/or tracking is a plus.
    • Familiarity with vision systems on resource-constrained embedded or mobile devices is a plus
    • Proficiency in C++ or Java
    • Proficiency in MATLAB
    • Familiarity with scripting and web development languages such as Python, Groovy, and Grails is a plus
    • Track record of successful projects in algorithm design and product development
    • Excellent communication skills, solid work ethic, and a strong desire to write production-quality code

    Just submit your application to me, and we’ll take it from there.

    Julie Kemp
    julkemp@a9.com
  • KLA-Tencor Corporation
    Full-Time

    Position: Staff Modeling Engineer(C++ |optical Imaging | Algorithm | MATLAB)
    Location: Milpitas, CA
    Duration :  Full time

    Job Description:
    KLA-Tencor is seeking a talented individual for a staff engineer position in the world-class algorithm group within the reticle and photo mask inspection division (RAPID). The successful candidate is expected to design the next generation die-to-database (D:DB) algorithms used in the reticle inspection tools. The ideal candidate should possess strong lab experience and at the same time have mathematical inclinations. Alternatively, this person should have solid theoretical optics/physics training and in the meanwhile carry the interest and intuition to link mathematical equations to real-world optical systems. A key qualification is to innovate new algorithms based on thorough understanding of the hardware/optics and mathematical formulations. The candidate is expected to work closely with other algorithm, systems engineers, and optical engineers. This person must also be proficient in C/C++ in order to convert ideas into a real product

    Qualifications/Education Desired:
    1) Ph D in EE, applied optics, or applied physics
    2) Thorough understanding of optical imaging principles
    3) Strong in theoretical formulations and mathematics
    4) Proficient in C/C++ and Matlab
    5) 2 to 3 years of working experience
    6) Passionate about solving difficult technical problems

    Basic Qualifications:
    Bachelor's Level Degree with at least 5 years of experience.
    OR
    Master's Level Degree with at least 4 years of experience.
    OR
    Doctorate (Academic) with at least 2 years of experience.

    Kindly send your resume to sivaram.bose@kla-tencor.com

    Sivaram Bose
    sivaram.bose@kla-tencor.com
  • Taaz, Inc.
    Internship

    Taaz Inc., a San Diego based startup, is looking for summer interns in Computer Vision / Computer Graphics. Over a three-month period, you will work with an outstanding group of computer vision researchers to add new capabilities to the world's best virtual try-on technology. As part of the internship, you will develop and implement highly optimized cutting edge vision and graphics algorithms. The exact research problem will be based on your skill set.

    In a fast paced startup like Taaz, the features you develop over summer may be used by millions of users by fall. Work environment is fun and very intense.

    A side benefit of working at Taaz is living in the beautiful city of San Diego. Our office is a 10 minute drive from the beach and glider port. San Diego has a pleasant weather throughout the year and there are a ton of fun things (surfing, gliding, hiking, jet skiing to name a few) to do in and around the city.
     

    Research Experience

    Must be enrolled in an MS or a Ph.D. program in Computer Science/Electrical Engineering/Mathematics or similar disciplines with emphasis on Computer Vision. Experience in image based modeling and rendering, computational photography, automatic image enhancement, and automatic facial feature enhancement is a big plus. Experience in Computer Graphics and Machine Learning are desired but not required. Publications in CVPR, ICCV, ECCV, NIPS, SIGGRAPH, ICML or similar conferences will greatly improve your chances of being selected.


    Programming Experience

    As part of the internship you would need to read research papers and implement the algorithms optimized for speed and efficiency. The candidate must have a strong programming experience (preferably in C++) and would need to quickly learn new languages (e.g. ActionScript). Excellent command over MATLAB is desired. Familiarity with libraries like OpenCV,  BLAS/ATLAS, GSL etc. would be very useful.


    About Taaz Inc.

    Taaz is an exciting technology startup focused on beauty – with an Internet twist. Users upload their own photos and can try on makeup, hair styles and color, sunglasses, and Jewlery.  We power virtual makeovers on the web sites of top cosmetics (Estee Lauder, Clinique, Revlon),  media (Instyle.com, People.com, iVillage.com, Oxygen.com, bravotv.com etc. ), and retailers (HSN.com, Topshop.com) in the U.S. and abroad as well as on our own destination site, Taaz.com.

    Please submit your resume to openings@photometria.com.

    David Kriegman
    openings@photometria.com
  • ECE Department, National University of Singapore
    Post-Doc

    Three Postdoctoral Fellow positions and two RA positions are available for general machine learning, computer vision (object and activity), and multimedia (search, game and 3D) Research.

    The Learning and Vision Research Group at National University of Singapore is interested in a wide range of research topics. The research has been widely published in CVPR/ICCV/ECCV (>40), ACM MM, and ICML/NIPS/AAAI/IJCAI, and highlighted with the best paper awards in ACM MM'10, ICME'10 and ICIMCS'09, and the winner prize in the object classification task of PASCAL VOC'10.  The slogan of the group is to work hard together for the bright future of all members.

    These positions are available immediately. The salary will be very competitive. Please send your detailed CV to:

    Assistant Prof. Shuicheng Yan

    Department of Electrical & Computer Engineering

    Faculty of Engineering 4 Engineering Drive 3
    Singapore 117576

    Email: eleyans@nus.edu.sg

    Homepage: http://www.lv-nus.org

    Shuicheng YAN
    eleyans@nus.edu.sg
  • Adobe Systems Incorporated
    Internship

     

    Adobe is seeking a computer vision graduate student for its 2011 research internship program. Project areas include image-based modeling, 3D reconstruction, object tracking, structure from motion, and augmented reality. We are particularly interested in applicants with background in applying computer vision techniques to mobile applications. As a computer vision research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe's product line, and consequently reaching millions of computer users worldwide.

     

    Hailin Jin
    hljin@adobe.com
  • Daimler
    PhD

    The Environment Perception Department of Daimler R&D in Ulm (Germany) has currently an opening for a Ph.D. student in the area of computer vision and pattern recognition.

    The open position concerns the development of a sensor-based driver assistance system that can detect dangerous traffic situations with pedestrians, in order to warn the driver or automatically control the vehicle. Research will focus on two sub-themes:
    a) how to reliably and accurately detect pedestrians by computer vision, and
    b) how to estimate collision risk by the use of motion models,
    learned from training data. Experiments will be performed both off-line, on unique large data sets, and on-board a Mercedes-Benz vehicle demonstrator. For more information, see
    http://www.gavrila.net/Research/Pedestrian_Detection/pedestrian_detection.html

    Qualifications

    Prospective applicants should have an outstanding academic record and a solid background computer science or applied sciences. Experience in  computer vision and pattern recognition is a definite plus. The successful applicant will furthermore have strong programming skills (e.g. C++/MATLAB) and a certain affinity towards turning complex techniques into real systems. The ability to speak (or willingness to learn) german is expected.

    Availability

    Funding for the Ph.D. student position is available immediately, for an initial period of 3 years. 
      
    Contact

    Prospective applicants please email

    - cover letter (explaining suitability)
    - resume
    - copy of academic record (courses/grades)
    - supporting materials (e.g. MS Thesis, reports/publications, GRE/TOEFL scores)

    to Prof. Dr. Dariu Gavrila (<first-name>.<last-name>@daimler.com).

    Dariu Gavrila
    online@gavrila.net
  • University of Frankfurt
    PhD

     


    Two PhD studentships in Machine Learning are available in the Department of Computer Science, University of Frankfurt, Germany, starting in summer 2011.

     

    PhD students will be associated with a new machine learning group at Frankfurt as well as with the Bernstein Focus Neurotechnology (BFNT) Frankfurt (www.bfnt-frankfurt.de). PhD students will work under the supervision of Prof. Roland Memisevic (www.cs.uni-frankfurt.de/~ro), and will have the opportunity to collaborate with members of the Visual Sensorics and Information Processing Lab (www.vsi.cs.uni-frankfurt.de).

     

    Research will involve the development of scalable machine learning methods for building biologically inspired vision systems. Your work will combine statistical modeling with non-linear optimization, high performance computing and topics in computational neuroscience. A key focus is the scalability to very large data-sets. Ideal candidates will have a MSc or equivalent degree in Computer Science, Physics, Mathematics, or in a related area, and have a strong interest and experience in machine learning, statistics and/or scientific computing. 

     

    For the formal job posting and application instructions please see: http://www.ml.cs.uni-frankfurt.de/phdpositions.html

     

    If you attend CVPR, please come talk to us (Roland Memisevic or other members of the Bernstein Focus Neurotechnology) if you'd like to find out more!

    Roland Memisevic
    ro@cs.uni-frankfurt.de
  • MERL Mitsubishi Electric Research Lab
    Full-Time

    MERL is seeking qualified applicants (senior or junior) for a Research Staff position in the Imaging Group. This group pursues cutting-edge research in information capture / extraction / analysis and display including computer vision, computational photography, image processing, machine learning, and 3D graphics & modeling.  The group contributes to and maintains strong connections in these research communities, and also applies its specialized knowledge to challenging industrial problems in robotics, medicine, automobiles, safety and security, retail systems, large and small displays, and building systems.

    The successful candidate will be expected to lead and perform original research within the above areas, and to extend MERL’s domain of expertise. Further qualifications are detailed below.

    Responsibilities

    ·         Identify new problems and solutions that are broadly useful. Conduct research to evaluate these solutions and publish results in selective peer-reviewed conferences and journals. Conceive futuristic business possibilities and the technology and methods to address them.

    ·         Learn about existing Mitsubishi Electric businesses and consider their needs when defining research initiatives. Collaborate with Mitsubishi Electric labs in Japan to transfer information, prototypes, and code.

    ·         Assist in preparing your patent applications and research proposals.

    Qualifications

    ·         A Ph.D. in Computer Science, Electrical Engineering or related areas.

    ·         Documented track record of creative innovation and of developing, conducting, and leading successful research projects.

    ·         Excellent programming skills (C/C++, Matlab, etc) are required.

    ·         Applicant must be able to handle multiple assignments simultaneously and balance workload among different projects. Good presentation and written skills are expected.

    MERL is an Equal Opportunity Employer.

    Jay Thornton
    thornton@merl.com
  • Arrowsight
    Full-Time

    Leader and Architect, Next-Gen Video Browsing - Arrowsight – Westchester County, NY (one hour north of Manhattan)

     

    Arrowsight improves business operations using video-based measurements and data mining.  Using network video recorders at our customers’ premises, we help our customers spot critical issues affecting safety, compliance, and productivity. 

     

    Each week, our staff reviews 60,000 video clips, and this number is growing fast.  Our success hinges on our unique tools for browsing and synopsizing video and fetching it from our clients’ video recorders.  You will continue our record of innovating in this area, enabling our staff and partners to review unprecedented amounts of video with high accuracy.

     

    Expect to get your hands dirty.  You will be responsible for selecting architectures and programming frameworks (on the Windows platform), and auditing code written by your direct reports/contractors.   Initially you’ll probably write some code.  You will also write and review patent applications.  You will report to the CTO and be visible to the executive team and our partners.

     

    “MUST HAVE” REQUIREMENTS

    BS, MS, or PhD in Computer Science

     

    Either:

    a. Programming experience with Silverlight or Flash, OR

    b. Programming experience with COM or other component-based software methodologies (e.g., CORBA or JavaBeans)

     

    Programming experience writing video player software or visualization software

     

    Programming experience writing multithreaded software.

     

    Experience reviewing patent applications.

     

    Experience with image processing

     

    Recent experience in a leadership role.

     

    PLUSES

    Experience with web service frameworks (e.g. Windows Communications Framework)

     

    Past work on video indexing

     

    Experience with Web Services / XML

     

    Experience with H.264, QuickTime, or DirectShow.

     

    LOCATION

    Arrowsight’s software development team is located in central Westchester County, one hour north of Manhattan.   Our location allows easy access to New York City as well as many natural recreation opportunities amidst forests, lakes, and the Hudson River.  Westchester County and nearby Fairfield County in Connecticut are home to many corporate headquarters and other technology concentrations such as pharmaceuticals and biotech.   Excellent public schools are also available.

     

    Arrowsight has a second office in Huntsville, Alabama, which benefits from its proximity to other high-tech companies in the aerospace industry. Exceptional individuals may have the option of working from there.

     

    HOW TO APPLY

    Submit your resume at http://www.linkedin.com/jobs?viewJob=&jobId=1531396

     

    Please accompany your resume with a cover letter telling us your favorite tool(s) for working with video. (Yes, this is deliberately vague.)

     

    If you are a foreign citizen, and do not yet possess a green card, your cover letter should clearly state your visa status and the number of months remaining on it.

     

    For a list of all our open positions, see http://www.arrowsight.com/public/as/html/about/careers.asp

    Lambert Wixson
    lambert.wixson@arrowsight.com
  • Xiamen University, China
    Full-Time

    The Computer Vision Lab (CVL) is growing! Applications are invited for an Assistant Professor and an Associate Professor position at the Computer Vision Lab, Xiamen University, China in the areas of Computer Vision and Pattern Recognition (including Image/Video Analysis and Retrieval, Object Tracking/Detection/Recognition, Segmentation, Scene Understanding, Information Fusion, etc.), Machine Learning and related areas.

    Applicants should have a doctoral degree in Computer Science, Electrical Engineering, or a related field with a proven publication record in leading journals and conferences. The successful applicant will have solid research, strong programming and mathematical skills. The applicant for the Associate Professor Position must have a minimum of 3 years since he/she obtained the Doctorate degree.

    The position is open now (applications will be accepted until the position is filled). For consideration, please send your resume to Professor Hanzi Wang (Hanzi.Wang@xmu.edu.cn or Hanzi.Wang@ieee.org).

    About Xiamen and XMU:

    Xiamen is a very beautiful city and has a very wonderful living environment. Xiamen University is one of the most beautiful Universities and a high-level University in China. For more details, please refer to http://www.xmu.edu.cn/english/index.asp.

     

    Hanzi Wang
    hanzi.wang@ieee.org
  • KLA-Tencor Software India Pvt Ltd
    Full-Time

     

     

    Position :  Algorithm Engineer (#106060) 

     

     

         

    Location : Chennai ,India 

    Exp : 3 to 7 yrs

    Roles and Responsibility :

     

    KLA-Tencor is seeking applications for an algorithm engineer in eBeam wafer inspection and review division. This position involves developing advanced image processing algorithms to detect and classify defects captured in SEM(Scanning Electron Microscope) images, then implementing the algorithms into high value and high quality features of a complex system by working with other functional groups.

    Investigation:  Investigate techniques for improving various aspects of processing of eBeam images, including image quality, detection and classification.  Perform analysis and conduct experiments to evaluate the values  and risks of the developed techniques.

     


    Algorithm development:  Implement the developed algorithms in high quality code and drive it to a successful product feature.  

     

    Interface: Work with Marketing, Characterization and Applications and Systems Engineering departments to determine the use cases, requirements and success metrics.

    Qualifications:
    Strong background in image processing, machine vision or related fields 
    Strong software development skills
    Excellent analytical skills.
    Excellent communication skills.
    Drive and perseverance to champion a project from inception to completion.

     


    To apply, send your resume to emmanuel.dhayan@kla-tencor.com & venu.raghava@kla-tencor.com.

     

    KLA-Tencor Corporation (NASDAQ: KLAC), a leading provider of process control and yield management solutions, partners with customers around the world to develop state-of-the-art inspection and metrology technologies. These technologies serve the semiconductor, data storage, compound semiconductor, photovoltaic, and other related Nano electronics industries. With a portfolio of industry-standard products and a team of world-class engineers and scientists, the company has created superior solutions for its customers for over 30 years. Headquartered in Milpitas, California, KLA-Tencor has dedicated customer operations and service centers around the world. Additional information may be found at www.kla-tencor.com

     

    Emmanuel Dhayan & Venu Raghava
    emmanuel.dhayan@kla-tencor.com & venu.raghava@kla-tencor.com.
  • Department of Radiation Oncology, Washington University School of Medicine
    Post-Doc

    Description:
    The Washington University School of Medicine, Department of Radiation Oncology has an immediate opening for a postdoctoral research associate. The successful candidate will be involved in developing new medical image processing and analysis techniques and exploring potential clinical applications in radiation oncology and diagnostic imaging.

    Please email your CV and contact information for three references to Hua Li (huli@radonc.wustl.edu). Additional information about the department can be found at http://radonc.wustl.edu/

    Qualifications:
    Applicants must have a Ph.D. in electrical engineering, biomedical engineering, computer science, medical physics, or related fields. Strong programming skills with C/C++ and MATLAB are necessary for this position. Applicants with a background in research specialty on image segmentation, multi-modality image registration using deformable surface, level sets, shape statistics, and 5+ years of experience in medical image processing and software programming is highly desirable.

    Salary will be commensurate with background and experience. Washington University is an equal opportunity employer.
    Contact:
    Hua Li, Ph.D.
    Department of Radiation Oncology
    Washington University School of Medicine
    4921 Parkview Place
    Saint Louis, MO 63110, USA
    Phone: 314-362-0129
    Fax:     314-362-8521
    Email:  huli@radonc.wustl.edu

    Hua Li
    huli@radonc.wustl.edu
  • A*STAR, Singapore
    Post-Doc

     

    A postdoctoral position in Statistical Machine Learning for Clinical
    Applications
    --------------------------------------------------------------------------
    About Us: We are a multi-disciplinary research group working on data
    analysis for clinical and biological studies. Our institute, the
    Bioinformatics Institute, is nicely located in a research hub in the
    beautiful city nation of Singapore.
    This is an exciting project on intelligent glaucoma (eye disease) risk
    assessment. This is a highly inter-disciplinary project and our
    collaborators are leading experts in ophthalmology. For this project we
    have already collected some unique datasets from the clinics and will
    collect a few large-scale datasets. The developed techniques will be
    used on a daily basis in many clinics in Singapore and worldwide.
    We are seeking a highly motivated applicant to join us. The applicant is
    expected to be interested in doing research, to investigate
    computational approaches and build up predictive models for Glaucoma
    risk analysis. For this purpose, the applicant should be familiar with
    machine learning techniques, and in particular discriminative learning,
    classification and ranking, random forests, and graphical models.
    The job scope can be summarized as follows:
    (1) Develop novel, state-of-the-art statistical machine learning
    techniques for practical application to Glaucoma risk analysis;
    (2) Produce high quality research publications on related topics;
    (3) Work closely with eye doctors from the Singapore Eye Research
    Institute, and the National Univerisity Hospitals;
    (4) Develop prototypes in C++ or Java;
    (5) Work closely with a dedicated software engineer. The software
    engineer will convert prototypes developed in research into a user
    friendly Java application.
    The start date is expected to be around July 2011. The position is for 2 
    years with a possibility for renewal.
    Applications including a cover letter and CV can be send through email to: 
    Hwee Kuan Lee, 
    Computer Vision and Pattern Discovery for Bioimages
    Imaging Informatics Institute
    Bioinformatics Institute, A*Star, Singapore

     

    Hweekuan LEE
    leehk@bii.a-star.edu.sg
  • Computer Science Department, Boston College
    Post-Doc

    The Computer Vision Lab in the Computer Science Department at Boston College is seeking PostDoc Researchers. Candidates should have a PhD degree in computer vision or a related discipline, and a strong publication record. Research experience on human tracking, pose estimation and action recognition is preferred. Machine learning and combinatorial optimization background will be helpful to our projects.

     

    If interested, please email your complete CV with the names of three references to Dr. Hao Jiang (hjiang@cs.bc.edu).

    Hao Jiang
    hjiang@cs.bc.edu
  • National University of Singapore
    Post-Doc

    Position Detail:

    Two postdoc positions in computer vision & computer graphics are available now at the National University of Singapore (NUS), Singapore. The postdoc is expected to work on: 1) simultaneous localization and mapping (SLAM); or 2) radiometric image analysis, appearance modeling; or 3) image/video editing. Applicants should hold a PhD degree and have peer-reviewed publications in high impact computer vision and/or computer graphics conferences (CVPR, ICCV, ECCV, Siggraph or Siggraph Asia). These two positions are provided for up to two years with very competitive salary. Applications will be considered until the positions are filled.

    How to Apply:

    Please send your CV, list of publications and names of at least three references to: eletp AT nus.edu.sg

    About the Institute:

    NUS is the largest university in Singapore. It is ranked 4th in Asia and 30th in the world by the Times Higher Education-QS World University Rankings 2009. The Department of Electrical and Computer Engineering (ECE) has 100 academic staff members and over 1900 undergraduate and 900 graduate students. ECE also has close collaboration with many of Singapore's national research institutes, with linkages taking the form of education programs, major research initiatives, adjunct appointments and joint-laboratories. 

    Ping TAN
    eletp AT nus.edu.sg
  • The University of Adelaide (Australian Centre for Visual Technologies)
    Post-Doc

     

    2-YEAR POSTDOCTORAL POSITION
    Australian Centre for Visual Technologies
    University of Adelaide, South Australia

    Added Depth: Automated high level image interpretation


    Research areas: Computer Vision, Machine Learning

    The successful applicant will join an established and successful team, lead by Prof Anton van den Hengel, Dr Anthony Dick, Prof Philip Torr and Prof Simon Lucey, working on learning priors from large image sets which might aid the process of automated image interpretation. The position is initially for 2 years and will be available from mid 2011.

    Project background: Automated image interpretation has been one of the landmark goals of Artificial Intelligence since its inception.  The availability of enormous volumes of imagery and related meta-data on the Internet and elsewhere provides a valuable resource for automated image interpretation which has not yet been fully exploited.  By extending current 2D image interpretation methods on the basis of priors learned through analysis of this image information we aim to develop technologies capable of interpreting the world through imagery.

    This is a new position in an expanding international group of researchers. Applicants should have a PhD in a relevant discipline, with a strong background in computer vision, in particular image-based modelling, machine learning or probabilistic graphical models.  Strong coding and mathematical skills are also required. The successful applicant will work as part of a team of researchers within the Australian Centre for Visual Technologies on

    developing new approaches to image interpretation. International travel will be funded as part of the package.

    Salary: From $78,254 to $89,596 (Level B, Steps 2 – 6)(Australian Dollars) negotiable.

    Closing Date:

    Friday May 6, 2011. Further positions may become available, so applications may be accepted after this date for those positions.

    Informal enquiries and applications may be addressed to:
    Prof. A van den Hengel
    Computer Science
    University of Adelaide
    Adelaide
    South Australia 5005
    Australia

     

     
    or by email to:  Anton.vandenhengel@adelaide.edu.au

     

    Prof Anton van den Hengel
    anton.vandenhengel@adelaide.edu.au
  • Cognex Corporation
    Full-Time

    Principal Software Engineer
    Location: Natick, MA (Headquarters)
    Job Code: 11-A-82
    # of openings: 1

    Description

     

    The Company: Cognex Corporation

    With more than 250 patents and the largest team of vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry.  But our innovation goes beyond technology we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field.  Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding.

    To continue to add to our successful journey, we are looking to add more talented and dedicated people to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a team of like-minded, smart and hard working men and women who work for a financially strong, global company that is the leader in the machine vision industry, then give us a call, because working at Cognex is not just a job….it’s and adventure!

     

    Job Summary:

    This team is seeking a talented, enthusiastic software engineer who has a passion for programming to join the Sensor Products software development team.  As a software engineer on our team, you will tackle challenging, complex machine vision problems and be responsible for the design and implementation of the next generation of algorithms that execute in real-time on embedded platforms.  

     

    Responsibilities:

    1. Participate in the design, implementation, improvement, and/or support of machine-vision algorithms.
    2. Write product quality code in C, C++, or machine assembly language.
    3. Profile and optimize machine vision algorithms to achieve high-performance solutions.
    4. Implement software on embedded platforms, such as DSPs.
    5. Participate in team planning, design discussions, and reviews.
    6. Develop tools, applications, demos, etc. to support deployment, development, and testing.
    7. Work with a development team consisting of other software, hardware, and mechanical engineers, and interface to other Cognex business units to capture specifications for real-world machine vision opportunities.  

    Qualifications:

    1. Be undaunted by challenging problems.
    2. BS/MS in Math, Computer Science, or Engineering
    3. Professional experience developing and implementing machine vision algorithms for real-world applications.
    4. 8+ years of professional experience in C, C++.
    5. Well-versed in computer architectures.
    6. Excellent written and verbal communication skills.
    7. Assembly language programming is a plus.
    8. Experience with C# and .NET programming is a plus.
    If you are interested in working in a high-energy, fast-moving company with leading-edge machine vision technology, strong values, a corporate culture unlike any other in the world, and the best industrial machine vision products available, please apply online at www.cognex.com

     

    Patrick McMahon
    pat.mcmahon@cognex.com
  • Cognex Corporation
    Full-Time
    The Company: Cognex Corporation
     
    With more than 275 patents and the largest team of industrial machine vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry. But our innovation goes beyond technology, we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field. Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding.
     
    As we continue on our successful journey, we are looking to add more talented, innovative and dedicated engineers to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a high impact team working for a financially strong, global company that is the leader in the machine vision industry, then contact us, because working at Cognex is not just a job….it’s a passion!
     
     
    The Team: ID Products
     
    This position is in the ID Products business unit, which is responsible for designing and developing the most sophisticated industrial bar code readers in the world.  We combine custom hardware, specialized lighting and optics, and world-class vision algorithms to create embedded systems that can find and read high-density symbols marked directly on a variety of industrial parts, including aircraft engines, electronics substrates, and pharmaceutical test equipment. Our devices need to read hundreds of codes per second, so speed-optimized hardware and software work together to create best in class technology.
     
     
    The Role:
     
    This team is seeking a talented, innovative software engineer who has a passion for programming and the desire to tackle complex challenging problems to join the software development team. As a software engineer, you will design, develop, test and implement the most sophisticated machine vision software in the world. Project leadership and the ability to solve large complex problems independently are expected.
     
     
    Essential Functions:
     
    1. Develop and optimize new vision algorithms for detecting and reading difficult to read 1-d and 2-d “bar codes” in the presence of noise, distortion, and other interfering factors.
    2. Optimize these algorithms for speed on a variety of processing platforms, including embedded DSP’s.
    3. Work with customers to tune the ID algorithms to suit their specific needs
    4. Help to integrate these vision algorithms into custom embedded systems developed by other members of the ID Products team. Help optimize for overall system performance.
    5. Help out in a variety of other software areas, including developing lightweight custom GUI’s, testing systems in custom environments, developing code to control lighting, etc.

    Knowledge, Skills, and Abilities:

    1. Strong software development, signal processing, computer vision and math skills are required
    2. Software engineering and code optimization experience is required
    3. Embedded systems programming experience is desirable
    4. Object oriented design experience is also desirable
    5. Experience in applications of computer vision to identification, semiconductor or electronics manufacturing is useful
    6. Must be creative, motivated and looking to work hard for an aggressive growth company
     
    Minimum education and work experience required:
    1. MS or PhD from a top engineering school in EE, CS or equivalent
    2. 5 years experience in relevant, high-tech, industrial jobs coding in C or C++
     
    If you are interested in working in a high-energy, fast-moving company with leading-edge machine vision technology, strong values, a corporate culture unlike any other in the world, and the best industrial machine vision products available, please apply online at www.cognex.com. 
    Patrick McMahon
    pat.mcmahon@cognex.com
  • Cognex Corporation
    Full-Time
    The Company: Cognex Corporation
     
    With more than 275 patents and the largest team of industrial machine vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry. But our innovation goes beyond technology; we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field. Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding.
     
    As we continue on our successful journey, we are looking to add more talented, innovative and dedicated engineers to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a high impact team working for a financially strong, global company that is the leader in the machine vision industry, then contact us, because working at Cognex is not just a job….it’s a passion!
     
     
    The Team: Core Vision Technology
     
    This position is for a team member of the Core Vision and Applications group, responsible for designing and developing the most sophisticated Machine Vision software in the world. Our software is used to align, measure, recognize, and inspect all types of products from computer chips to chocolate chip cookies. Our systems are used in the production of over a billion products every day across many different industries including consumer goods, aerospace, pharmaceuticals, robotics and electronics.
     
    Industrial machine vision technology is used to analyze imagery (intensity, color, density, Z-data, etc.): to detect, identify and localize objects, to make measurements, to inspect for defects, and to read encoded data. In many cases, products simply could not be made without Cognex’s vision products. Technology development is critical to the overall business to expand areas of application, improve performance, discover new algorithms, and to make use of new hardware and processing power. Development is primarily done in C and C++. Engineers in this group typically have experience with image analysis, machine vision, or signal processing. Success in this role has the potential to lead to increased responsibility at Cognex.
     
     
    The Role:
     
    This group is seeking engineers with a passion for programming to lead core vision technology development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team.
     
     
    Essential Functions:
    1. Imagine, design, develop, code, and debug C and C++ machine vision software.
    2. Build efficient, real-time software and related libraries to run either on a PC or embedded platform. 
    3. Invent, implement and optimize new vision algorithms.
    4. Interact with internal or external customers. 
     
    Knowledge, Skills, and Abilities:
    1. Strong programming skills, and experience in production coding.
    2. Experience with signal processing and/or computer vision preferred.
    3. Industrial programming experience desirable. 
    4. Experience in applications of computer vision also of interest. 
    5. Creative, motivated and looking to work hard for an aggressive growth company.
     
    Minimum education and work experience required:
    1. MS from a top engineering school in EE, CS or equivalent , PhD preferred
    2. 5+ years experience in relevant, high-tech, industrial jobs coding in C or C++
    If you are interested in working in a high-energy, fast-moving company with leading-edge machine vision technology, strong values, a corporate culture unlike any other in the world, and the best industrial machine vision products available, please visit our website at www.cognex.com and apply online today.
    Patrick McMahon
    pat.mcmahon@cognex.com
  • Intelligent Automation, Inc.
    Full-Time

    Intelligent Automation, Inc. (IAI) is a Research and Development organization headquartered in Rockville, Maryland and conducts state of the art research and product development in the fast evolving areas of Distributed Intelligent Systems, Education, Robotics, Networks and Control. The Robotics and Electromechanical Systems Group is looking for an outstanding researcher with a doctorate degree in Electrical Engineering or Computer Science with a background in computer vision and machine learning.  The successful candidate will join a dynamic team of vision and robotics scientists  and participate in rewarding research to develop core vision technology for robust video analysis, and to design solutions for specific vision applications.  Targeted applications include intelligent video surveillance, robotic vision, video forensics, semantic video tagging, and embedded vision devices.  

    The desired candidate should have a strong publication record in computer vision particularly in the areas of visual tracking, object recognition, activity recognition and scene understanding.  Research experience in robotic vision, aerial video analysis, content-based image retrieval, vision software architecture, and embedded image processing is desirable but not required.  A strong background in programming and a proven ability to develop advanced system prototypes is important.  The desired candidate will have strong communication, presentation, and writing skills as well as experience working as part of a multi-disciplinary team. 
     

    US citizenship or US permanent residency is preferred.  IAI is an AA/EEO employer.
    Job Duties :
    1.Conduct research and development in the area of vision and scene understanding.
    2.Develop vision algorithms and prototype systems for specific applications.
    3.Design, integrate, and validate computer vision modules.
    4.Interact with other research teams and support with computer vision and image processing expertise.
    5.Support program management and business development efforts by writing reports/papers, contributing to proposals, presenting to customers, etc.
     
     Education 
     - Doctorate Degree EE, CS or related field
     
    Experience 
    - Proficient: C++, MATLAB
    - 4+ years: Computer vision
    - Solid understanding: computer vision and image processing algorithms
    - Solid understanding: machine learning and statistical inference methods
    - Some experience: visual tracking, object and activity recognition, vision software architecture

    More info: career page,  http://www.i-a-i.com

    Mun Wai Lee
    mlee@i-a-i.com
  • Oxford Brookes University
    PhD

    PhD Studentship in Computer Vision/Robotics

    Supervisors: Dr Fabio Cuzzolin and Professor Phil Torr

    Eligibility: The following full-time studentship which includes bursary and fees is
    available for a maximum of 3 years.
    Applicants require a good Honours degree (2.1 or equivalent) and Home,
    EU and International students are eligible.

    Start date: June  2011

    Value p.a. £13,500 bursary & fees (International Students)
    £14,500 bursary & fees (EU Students)

    The School of Technology at Oxford Brookes University is funding a PhD studentship in Computer Vision and Robotics/Autonomous Navigation under the new Intelligent Transport Systems Doctoral Training Programme.

    The Oxford Brookes Vision group is a world-level, internationally recognized group. Its founder Professor Torr has won the most important prize in Computer Vision, the Marr prize, in 1998. The group has won an astounding number of prizes at top vision and machine learning conferences, such as the best paper awards at ECCV 2010 and BMVC 2010, an honourable mention at NIPS 2008, and others.

     

    Topic of research:

    Autonomous navigation of intelligent vehicles requires solving a number of sophisticated vision problems, such as the recognition of static (signs, cars) and moving (people, animals, bicycles) obstacles along the vehicle’s path or in its vicinity, the localization and tracking of 3D points in dynamic scenes, object motion prediction and recognition.
    Techniques derived from recent developments in manifold learning, graph optimization and spectral decomposition may be potentially useful in tackling such problems.

    Informal enquiries:

    Dr Fabio Cuzzolin (fabio.cuzzolin@brookes.ac.uk)
    Professor Philip Torr (philiptorr@brookes.ac.uk)

    Further information about the research:
    http://tech.brookes.ac.uk/research/intelligent-transport-systems

    Instructions for applicants can be found on our website:
    http://tech.brookes.ac.uk/research/intelligent-transport-systems/studentships

    Fabio Cuzzolin
    Fabio.Cuzzolin@brookes.ac.uk
  • CyberOptics Corporation
    PhD

    Opportunity:

    CyberOptics, a leading provider of optical inspection systems and sensors for the electronic assembly equipment market, is seeking a senior image processing researcher and engineer to provide technical leadership in the area of image processing. This is a hands-on position and includes responsibility for the successful implementation of image processing solutions to meet the needs of new product development efforts. It is expected that the senior image processing research engineer is a key participant in the invention of new and innovative optical sensing applications. This position also has the responsibility to provide guidance and coaching to other image processing team members through an informal and formal design review process.

     Major Responsibilities:

    • Provide technical leadership, guidance, and coaching for the image processing team members
    • Develop image processing requirements and specifications for new optical sensing applications in imaging, inspection, alignment and metrology
    • Develop and implement practical and technically innovative image processing solutions to meet customer driven requirements
    • Lead technical efforts in developing and testing enhancements to existing image processing algorithms
    • Develop and maintain image processing performance testing procedures
    • Interact with customer engineering to diagnose and solve customer related image processing issues for released products
    • Facilitate informal and formal image processing design reviews

    Education Required:

    • PhD degree in Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or related areas
    • Formal education in digital signal and image processing

     Experience Required:

    • 5+ years track record of successfully developing and integrating image processing in optical sensing and machine vision applications
    • Proficient in C++ or C# programming
    • Experience in Windows .NET development environment
    • Experience applying commercial machine vision software tools (e.g. Cognex, Matrox, Halcon)  to industrial vision problems preferred
    • Experience working within multi-discipline engineering teams
    • Track record of leadership
    • Understanding of statistical modeling and classification techniques desired
    • Experience with real time image processing desired
    • Experience with pattern recognition and metrology is a plus

    Location: Golden Valley, MN

    Human Resources
    hr@cyberoptics.com
  • Siemens Corporate Research
    Full-Time

    We have an immediate opening for a research scientist in the field of Medical Imaging with a focus on researching and developing innovative solutions to challenging problems arising from real world whole body imaging applications. Examples of such application include deriving clinically relevant fetal measurements from 3D ultrasonography, segmenting a cohort of main organs (e.g., heart, lung, liver, kidney, etc.) from CT volumes, detecting lesions from MR volumes, etc.

     

    Core responsibilities for the candidate include:
    - Do research on image and data analysis techniques to advance the state-of-the-art, including generating publications in top journals and conferences
    - Apply image and data analysis methods to real world problems
    - Quick prototyping, feasibility studies, specification and implementation of data analytics software product components
    - Work with customers to understand algorithm requirements

     

    The ideal candidate should posses the following essential skills and qualifications:
    - Ph.D. in Computer Science, Electrical Engineering, or related discipline
    - About 5-8 years of experience in related field and successful demonstration of Key Responsibilities
    - Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype
    - Strong theoretical and practical background in computer vision, machine learning, statistical pattern recognition, image segmentation, tracking, applied mathematics, optimization. Knowledge about medical imaging devices is a plus, but not a must.
    - Experience working in medical Imaging or computer vision
    - Ability to quickly prototype in C++.
    - Outstanding written and verbal communication skills
    - Excellent interpersonal skills and a can-do attitude
    - Ability to work independently and prioritize work
    - Strong collaboration skills and ability to thrive in a fast-paced environment
    - Flexibility and adaptability to work in a growing, dynamic team

     

    Siemens Corporate Research (SCR), a division of Siemens Corporation, is Siemens' largest research center outside of Europe. For more than thirty years, leading organizations in the private and public sectors have turned to the company for its expertise in breaking down barriers to innovation and delivering real business value. With more than 250 scientists, engineers, and technical experts, the company helps its customers and strategic partners grow their businesses in the fields of healthcare, automation, production, energy, industry, information and communications. SCR offers a stimulating research environment and rewarding career opportunities.

     

    Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.
    EOE/AA/MFDV

    Kevin Zhou
    shaohua.zhou@siemens.com
  • Honeywell
    Internship

    Honeywell Labs’ Integrated Security Technology Section is seeking Ph.D. students for two summer internship positions in computer vision and machine learning in our research labs in Minneapolis. A successful applicant will contribute to ongoing work on activity recognition from videos in the wild (e.g. YouTube).  This objective is challenging, in part, because the wide range of activities of interest cannot be addressed with a single feature type or by a single classification technique.  As such, our approach will involve a number of different feature and classification approaches, the results of which must be reconciled to a single classification result.  Applicants with previous experience in score-based fusion of multiple classifiers are strongly encouraged to apply.

     

    Applicants should be currently enrolled in a Ph.D. program concentrating on computer vision and/or machine learning. Understanding of activity recognition literature, past application of data-driven score fusion and possession of strong programming skills in either Matlab or C++ are also desired.  Successful applicants will work in a research environment, exploring novel approaches within the scope of the relevant project.  The methods developed and experimental results obtained over the internship should support a research paper.

     

    Basic Qualifications  

    • Ph.D. Student in Engineering Applied Math, or Computer Science, (must be enrolled in a PhD program at a time of internship, no undergraduates)

    • Knowledge of Matlab and relevant toolboxes, and/or C++ with OpenCV.

    • Research interest in Computer Vision and/or Machine Learning.

    • Good written and oral communication skills.

     

    Start of Internship: Exact Date TBD based on candidates availability (May/June 2011)

    Duration: 12-15 weeks

    Location: Honeywell Labs in Minneapolis, Minnesota, USA

     

     

    Point of Contact  

    Interested applicants should send a CV to Dr. Scott McCloskey (scott.mccloskey@honeywell.com).  Applications will be accepted until the position is filled. 


    Scott McCloskey
    scott.mccloskey@honeywell.com
  • UtopiaCompression
    Internship

    Job Requirement:

    UtopiaCompression Corporation (UC), based in Los Angeles, California, is currently looking for 2 interns to work on computer vision problems for Unmanned Aircraft Systems (UAS) and related applications. The ideal candidates will be self-motivated, have sufficient research experience in computer vision and willing to collaborate with senior members towards solving challenging research problems. Candidates who show exceptional ability during their internship will be considered for full time positions after the end of internship. The availability of these positions is immediate and expected to last for duration of 3 to 6 months.

    Required Qualifications:

    1)      Enrolled in Ph. D program with primary focus on computer vision, machine learning or related disciplines. However, M.S. level students with strong backgrounds are encouraged to apply as well.

    2)      Strong programming skills in C, C++, MATLAB, Python.

    3)      Good knowledge of OpenCV and other computer vision libraries is desired.

    4)      Knowledge of commonly used features in computer vision/image processing (HOG, SIFT, Haar features, etc.), algorithms for object tracking, segmentation and classification.

    5)      Experience with developing computer vision algorithms for Infra-Red (IR) imagery is a plus.

    6)      Self-motivated, willingness to learn and experiment and effective communication skills are very important.

    US citizens and residents are strongly encouraged to apply.

    To Apply - Please send your credentials, resume and cover letter to:

    Prakash Ramu

    UtopiaCompression Corporation

    Email: prakash@utopiacompression.com

    UC website: http://www.utopiacompression.com

     

    Wendy Shepherd
    wendy@utopiacompression.com
  • IMT Institute for Advanced Studies
    Full-Time

    IMT Institute for Advanced Studies Lucca is an international Graduate School and Institute of Technology that acts as a research university with the aim of forming human capital –specifically with regard to its PhD programs- in disciplines characterized by their high potential for concrete application.

    Complex Data and Image Analysis - 1 Assistant Professor position:

    RESEARCH UNIT/PROJECT: PRIAn - Pattern recognition and image analysis

    The successful candidate will collaborate closely with experimental groups active in the fields of single-molecule imaging, in vivo fluorescence imaging, and magnetic resonance.

    FIELDS: Image analysis, with particular reference to biological and medical images.

    Specific areas of interest may include:

    -                      Dynamic imaging and correlation analysis of image time-series

    -                      Diffusion Tensor Imaging and MR tractography

    -                      Complex Network analysis applied to dynamic and functional imaging

    -                      Hierarchical clustering.

    PROFILE: A Ph.D in physics/applied mathematics/informatics/bioinformatics is preferred.

    A sound knowledge of image analysis methods, good command of image-oriented programming languages (e.g. IDL, MatLab) and an excellent track record of publications are required.

    Previous experience with biomedical imaging is a plus, but applications from candidates with experience in other areas of image processing and analysis are welcome.

    An excellent level of both written and spoken English is mandatory

    Please apply online (http://www.imtlucca.it/faculty/positions/junior_faculty_recruitment_program.php) by April 15th 2011. You can also contact researchers.opening@imtlucca.it for additional information.

    RPO Staff
    researchers.opening@imtlucca.it
  • Microsoft
    Internship

    Microsoft’s Applied Sciences Group (ASG) is offering internship opportunity in the area of computer vision for summer 2011. We are seeking talented graduate students to participate in solving several exciting vision problems. Project areas include:

    ·         2D object/pattern recognition

    ·         Multi-camera networks infrastructure, multi-camera calibration

    ·         Hand gesture/pose recognition  

    As a computer vision research intern at ASG, you will have the opportunity to develop/improve novel human-computer interfaces using vision technologies, with the added potential of contributing to Microsoft’s product line, and consequently making impact to millions of computer users worldwide.

    Requirements:

    ·         PhD students in Computer Science or Electrical Engineering.

    ·         Research and development experience in computer vision, pattern recognition, or machine learning.

    ·         Proficient in C/C++ programming. GPU programming knowledge is a plus.

    ·         Hands-on experience in one of the above areas is strongly preferred.

    About ASG:

    The Microsoft Applied Sciences Group is an applied research and development team dedicated to creating the next generation of computer interaction technologies. The interdisciplinary group focuses on the synergy between optics, electronics and software to create novel human computer interfaces. The ASG mainly supports projects for next generation computing and interface hardware for Mobile, Xbox, and Microsoft Surface. It also works closely with Microsoft Research. For more information please see our website: http://www.microsoft.com/appliedsciences/

    Liang Wang
    liangwan@microsoft.com
  • TheFind Inc
    PhD

     

    We’re looking for a top notch engineer for visual shopping search. We have a gigantic database of products with their images. You’ll be working on advanced technologies to improve the customer user experience on various types of visual search on these images. You’ll be looking through the cutting edge work in computer vision, and inventing some stuff yourself to solve relevance problems at this scale. Background in machine learning is required since it’ll be heavily involved. Work will require algorithmic innovation, as well as implementing and deploying solution in production.

    Requirements:

    • PhD in computer science or a master’s degree with equivalent experience. PhD in computer vision is ideal.
    • Domain expertise in computer vision or image processing. Skills in object detection, recognition, and/or tracking are a plus.
    • Machine learning, information retrieval, or data mining is a plus.
    • Proficiency in C++
    • Excellent communication skills, solid work ethic, and a strong desire to write production-quality code

    About TheFind:

    TheFind is a startup in the Bay Area in the area of ecommerce ($200 billion market). We’re building a shopping search engine that will be the premier shopping destination on the web, beating Amazon and Google. TheFind is solving fundamental problems in comprehensiveness and information extraction in the shopping domain by using machine learning. We successfully crawl and extract products from 1 billion web pages, and serve 20+ million sessions per month. Our goal is to build a product focussed on all aspects of the shopping process like comprehensiveness, price comparison, deals, reviews and sentiment analysis, local shopping search, hot trends, personalized and social shopping etc.

     

    We’re well funded and have a stellar leadership team from places like Stanford, Princeton, UCB, IIT, BITS Pilani, Yahoo/Inktomi/Altavista, Oracle, Microsoft, eBay, Verity. We're a startup but we're already profitable.

     

    Only qualified people should apply.

    Shashi Khandelwal (CTO, TheFind)
    kshashi@thefind.com
  • Disney Research, Pittsburgh
    Post-Doc

    Disney Research, Pittsburgh has one 2-year post-doctoral position available immediately in our Computer Vision group. The ideal candidate will have recently completed a PhD thesis and be experienced in one or more of the following areas:

     

    • Human pose estimation and/or tracking
    • Object localization and/or tracking
    • Machine learning
    • Activity recognition
    • Multi-modal inference (combining image, video, text, audio)

     

    Excellent spoken and written English and strong mathematical skills are essential. Disney Research is primarily interested in publishing great research. Research-level programming competence is required in Matlab and C++.

     

    Disney Research Labs provide a research foundation for the many business units within the Walt Disney Company. For example: Walt Disney Feature Animation, Walt Disney Imagineering, Parks & Resorts, Walt Disney Studios Motion Pictures, Disney Interactive Media Group, ESPN, Image Movers Digital and Pixar Animation Studios. Disney Research has sibling labs located in Pittsburgh, Zurich, Los Angeles, Salt Lake City and San Francisco.

     

    Disney Research, Pittsburgh is co-located with Carnegie Mellon University under director Prof. Jessica Hodgins. The successful candidate will also be encouraged to collaborate with members of the established Computer Vision group at The Robotics Institute at Carnegie Mellon.  Collaborations across disciplines with members of Computer Graphics, Robotics and HCI groups are also encouraged.

     

    Full participation in the global R&D community is required through publication of results, collaboration with universities, and participation in professional service activities. Candidates should have a strong publication record in the top conferences within their field (e.g., CVPR, ICCV, ECCV, NIPS, ICML, ICRA, ACM SIGGRAPH), excellent academic credentials, and an earned PhD in their area of specialization.

     

    For additional questions, please e-mail Leonid Sigal at: lsigal@disneyresearch.com. To apply, please send a CV in pdf format that includes citizenship (and for non-US citizens, current visa status if any) directed to: drpjobs@disneyresearch.com. Please include "Postdoctoral Position Application (Ref #LS32011)" in the subject line.

     

    The Walt Disney Company is an Affirmative Action/Equal Opportunity Employer and encourages applications from members of under-represented groups.

    Leonid Sigal
    lsigal@disneyresearch.com
  • HHMI Janelia Farm Research Campus
    Post-Doc

    The Janelia Farm Research Campus, a unique, world-class research community near Washington, D.C., is dedicated to understanding the function of neural circuits and developing synergistic imaging technology. Our highly collaborative structure is designed to support interdisciplinary work in small lab groups. We seek candidates who are comfortable with risk and are able to think independently to develop novel approaches. The Jain Lab is looking for highly motivated individuals to pursue interdisciplinary computer science & neuroscience research projects.

    Dr. Viren Jain's Research Abstract: http://www.hhmi.org/research/fellows/jain.html

     

    Principal Responsibilities: 

    • Pursue novel algorithmic solutions to challenging image analysis problems arising in high-throughput neuroanatomy.
    • Develop novel algorithms and software to integrate distributed human interaction with machine learning platforms for image analysis.

    Preferred Qualifications:

    • PhD in Computer Science, Machine Learning, Neuroscience or related discipline.
    • Ability to work and support interdisciplinary work in small lab groups.
    • Comfortable with risk.
    • Ability to think independently.
    • Ability to develop novel approaches.  

    Additional Information: 

    To apply, please send your CV and include three references. If you have specific salary requirements, please include them in your e-mail; all information is confidential. Please include the job title "Connectomics" in the subject line.

     

    To Apply
    To apply for this position, please email or send your resume to:
    E-mail: JFRCjobs@janelia.hhmi.org

    Dr. Viren Jain
    JFRCjobs@janelia.hhmi.org
  • SnT, University of Luxembourg
    Post-Doc

    The University of Luxembourg seeks to hire outstanding researchers at its Interdisciplinary Centre for Security, Reliability and Trust (SnT).

    SnT is a recently formed centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners.  SnT is active in several international research projects funded by the EU 7th framework programme and the European Space Agency. For further information you may check: www.securityandtrust.lu .

    The SnT centre invites applications from PhD holders in the general area of Computer Vision.

    The research projects will be conducted in partnership with IEE. S.A. (www.iee.lu), a leading-edge technology company specialized in innovative sensing systems and headquartered in Luxembourg.  

     

    Position description: The successful candidates will carry out research in the area of “Multi-Sensor Fusion”.  The position holder will be required to perform the following tasks:  

    • Shaping research directions and producing results.
    • Attracting funding in cooperation with industrial partners.
    • Coordinating research projects and delivering outputs.
    • Providing guidance to PhD and MSc students.
    • Disseminating results through scientific publications.
    • Organizing relevant workshops.

    The SnT centre offers a two year employment contract that may be extended up to five years. The University offers highly competitive salaries. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created research centre.

    Profile: The candidate needs to hold a PhD degree, or equivalent, in electrical engineering, computer science, or applied mathematics with strong programming skills in Matlab/C/C++. The ideal candidate should have extensive experience and publication record in image processing, computer vision, estimation and detection. Experience with range data is a strong advantage. The candidate must be fluent in both written and spoken English.

    Application: must include the following documents:

    • A detailed Curriculum Vitae including a list of publications.
    • Research statement.  
    • Cover letter.
    • Contact information for at least three referees.

    Applicants should send their application in electronic form no later than March 15th, 2011,

     

    TO: snt-jobs@uni.lu

    CC: djamila.aouada@uni.lu

    SUBJECT: Multi-Sensor Fusion

     

    Applications will be handled in strict confidentiality. The University of Luxembourg is an equal opportunity employer.  

    For further inquiries, please contact Dr. Djamila Aouada (djamila.aouada@uni.lu) or Prof. Björn Ottersten (bjorn.ottersten@uni.lu).

    Djamila Aouada
    djamila.aouada@uni.lu
  • SnT, University of Luxembourg
    PhD

     

    The University of Luxembourg seeks to hire outstanding PhD candidates at its Interdisciplinary Centre for Security, Reliability and Trust (SnT).

    SnT is a recently formed centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners.  The Centre is currently expanding its research activities and is seeking highly motivated candidates who wish to pursue research in close cooperation with our partners leading to a PhD. For further information you may check: www.securityandtrust.lu.

    The PhD project will be conducted in partnership with IEE. S.A. (www.iee.lu), a leading-edge technology company specialized in innovative sensing systems and headquartered in Luxembourg.   

    Project description: The PhD project will primarily focus on developing computer vision methods for enhanced 3D videos with a strong focus on real-world security applications such as real-time video surveillance and automotive safety. This research will rely on defining new mathematical models using concepts from multi-modality fusion, segmentation and tracking. In addition, the goal is to conduct full scale experiments for modelling and validation and to consider implementational aspects. Familiarity with range data and more specifically Time-of-Flight (ToF) cameras is a valuable advantage for this project. The PhD candidate will share his/her time between SnT and IEE and use facilities and experimental equipments at both sites. The PhD is expected to be completed in three to four years.

     

    Profile: The candidate needs to hold a Master’s degree, or equivalent, in electrical engineering, computer science, or applied mathematics with strong programming skills in Matlab/C/C++. Experience in image processing, computer vision, estimation and detection is a requirement. Experience with range data is a strong advantage. The candidate must be fluent in both written and spoken English.  

    Application: must include the following documents:

    - Curriculum Vitae.

    - Cover letter.

    - Contact information for at least two referees.

    - University transcripts.

      

    For immediate consideration, please send your application, written in English and in PDF format only, to:

    TO: snt@uni.lu

    CC: djamila.aouada@uni.lu

    SUBJECT: PhD in Computer Vision

     

    For further inquiries, please contact Dr. Djamila Aouada (djamila.aouada@uni.lu) or Prof. Björn Ottersten (bjorn.ottersten@uni.lu). The call is open until the position is filled.

    Djamila Aouada
    djamila.aouada@uni.lu
  • United Technologies Research Center (UTRC)
    Full-Time

    United Technologies Corporation, a Fortune top 50 company is a dynamic global corporation operating at the leading edge of commercial and military aviation, aerospace systems, climate control, elevator design, security and fire protection as well as hydrogen fuel cell development.

    The candidate is expected to interact with United Technologies Research Center (UTRC) Program Offices and United Technologies Corporation (UTC) business units to enhance existing programs, create opportunities, participate in the acquisition of contract awards, and provide technical contributions in the areas of autonomy and perception, especially with regard to compressive sensing, simultaneous localization and mapping, senor fusion, LIDAR and video for navigation.

    The candidate must be able to work effectively in a multidisciplinary, multinational team environment focused on innovation and be able to partner with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) to meet organizational objectives. The candidate will have exceptional communication skills, capable of interacting with UTRC senior management as well as members of the technical staff. The candidate must be able to provide timely, accurate and detailed reports and presentations.

    Additionally, the successful candidate will be expected to:

    - Act as an individual contributor, working in multidisciplinary teams focused on creative, integrated solutions for business and technical challenges in simultaneous localization and mapping, video for navigation, multimodal sensor data fusion, and decision making processes from the navigational information.

    - Provide technical contributions in the areas of detection, classification and tracking of multiple agents in an urban environment, as well as real-time autonomous trajectory re-planning.

    - Identify and champion promising technical innovations for UTC Business units through knowledge of the state-of-the-art in fields related to perception for navigation, the participation in partnerships with universities, national labs, and government / military institutions.

    - Author technical papers; be active in internal and external networks.

    Required: M.S. in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field and a minimum of 6-8 years of industrial or academic experience (post M.S.).

    Preferred: Ph.D. in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field, plus 3-5 years of industrial or academic experience after completion of the Ph.D. in disciplines as outlined above.

    - Expert knowledge and a minimum of 3-5 years of industrial or academic experience (post M.S.) in several of the following: (1) multi-sensor data fusion for context-specific decision support relevant to localization and mapping, (2) LIDAR and video for navigation, including the ability to represent surrounding views automatically and make decisions based on the scene information, (3) detection, classification and tracking of multiple agents in an urban environment, (4) real-time autonomous trajectory re-planning.

    - Demonstrated ability to write proposals and win external funding/contracts/grants.

    - Record of technical contributions, including patents and publications in refereed technical journals.

    - Proven success in innovative, strategic and technical thinking; willingness to champion and challenge new technical ideas; and experience in applying work to real-world applications.

    - Excellent communication skills; innovative strategic and technical thinker; high energy; team player.

    US Citizenship or Permanent US Residence is required for this position
    United Technologies Corporation is An Equal Opportunity/Affirmative Action Employer.

    Isaac Cohen
    isaac.cohen@utrc.utc.com
  • IST Austria (Institute of Science and Technology Austria)
    Post-Doc

     A postdoc position in Computer Vision and Machine Learning is available immediately at the Institute of Science and Technology Austria (IST Austria) in the group of Christoph Lampert. Applicants should hold a PhD and have experience in computer vision, machine learning and optimization methods. Prior knowledge of modern machine learning techniques (in particular kernel methods, structured output learning, and/or probabilistic approaches) will be an advantage, a strong analytical background is a must. We are looking a for highly motivated and creative individual who enjoys working in an excellent research environment including adequate funding for equipment and conference travel. The successful candidate will have no mandatory teaching or adminstrative duties, but he or she should be motivated to take an active role in the further development of the newly established research group. Good communication skills and fluency in English are required. German language skills are optional. Conditions of employment: The post-doctoral position is provided for up to three years with very competitive salary. The starting dates are flexible. There is no fixed deadline, applications will be considered until the position is filled. Application procedure: Formal applications should include CV, a statement of research experience and interests, list of publications, academic transscripts, as well as the contact details of three references. Please send applications as single PDF document to Prof. Christoph Lampert . About the institute: IST Austria (www.ist.ac.at) is a new institute that opened its campus near Vienna in 2009. It is dedicated to basic research in the natural sciences and related disciplines (www.ist.ac.at/research). Established by the Austria Government, IST Austria has substantial funding, allowing for over 500 employees and graduate students by 2016. The language of the Institute is English.

    Christoph Lampert
    chl@ist.ac.at
  • United Technology Research Center
    Full-Time

    United Technologies Corporation, a Fortune top 50 company is a dynamic global corporation operating at the leading edge of commercial and military aviation, aerospace systems, climate control, elevator design, security and fire protection as well as hydrogen fuel cell development.

     

    The Systems department at the United Technologies Research Center has an opening position in the area of Computer Vision and Video Surveillance at the level of Principal (L4) or staff (L5) scientist.

    The candidate is expected to interact with United Technologies Corporation (UTC) business units to provide technical expertise in existing programs, create opportunities, including the acquisition of contract awards, assist in setting strategic technical agenda, and provide leadership to efforts involving computer vision and video surveillance. Additionally, this individual will be called upon to outline future business opportunities and to provide technological and business solutions in response to UTC business unit requirements.

     

    Successful candidates should demonstrate outstanding track records in 3 or more of the following fields: object detection and tracking, object recognition, activity and event recognition, content-based indexing and retrieval, computational photography.

     

    The candidate must be able to work effectively in a multidisciplinary, multinational team environment focused on innovation and be able to partner with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) to meet organizational objectives. The candidate will have exceptional communication skills, capable of interacting with UTRC senior management while also being able to mentor junior members of the technical staff.

     

    Additionally, the successful candidate will be expected to:

    -           Provide technical leadership and direction and serve as a technical resource to others, including being a member of technical review boards.

    -           Act as principal investigator, leading multidisciplinary teams developing integrated solutions for UTC business units and focusing on creative solutions to technical challenges in computer vision and video surveillance.

    -           Identify and champion promising technical innovations for UTC business units through the establishment of partnerships with university, national labs and other world-class institutions.

    -           Create opportunities through the acquisition of contract awards, source and evaluate new technology for UTC; create and leverage internal and external partnerships;

    -           Foster development of creativity and technical excellence in others.

    -           Author technical papers; be active in relevant technical communities.

     

    Education:

    Required: M.S. in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field and a minimum of 10 years of industrial or academic experience (post M.S.).

    Preferred: Ph.D. in Computer Science, Electrical or Computer Engineering, Mathematics, Statistics, or a related field, plus 5-8 years of industrial or academic experience after completion of the Ph.D. in disciplines as outlined above.

     

    Experience / Qualifications:

    -           Expert knowledge and a minimum of 5-10 years of industrial or academic experience (post M.S.) in at least three of the following fields: object detection and tracking, object recognition, activity and event recognition, content-based indexing and retrieval, computational photography.

    -           Demonstrated ability to lead multi-disciplinary teams to successfully achieve desired technical outcomes within time and budget constraints.

    -           Demonstrated ability to write proposals and win external funding/contracts/grants.

    -           Record of technical contributions, including patents and publications in refereed technical journals and major conferences in computer vision

    -           Proven success in innovative strategic and technical thinking, willingness to champion and challenge new technical ideas, and experience in applying work to real-world applications.

    -           Excellent communication and leadership skills; innovative strategic and technical thinker; high energy; team player.

    -           Demonstrated team leadership in multi-disciplinary and multi-cultural industrial applications is a plus.

     

    Additional Comments:

     Proof of American Citizenship or Permanent US Residence is required for this position.

    Isaac Cohen
    isaac.cohen@utrc.utc.com
  • Qualcomm Inc.
    Internship

     

    Join Qualcomm's Corporate Research & Development organization, based in San Diego, California. We are looking for talented individuals to contribute to the development of new generations of Mobile Augmented Reality solutions.

     

    Mobile Augmented Reality:
    Qualcomm’s AR vision-based augmented reality platform uses complex computer vision algorithms, tightly aligns computer graphics, and includes robust tracking and image detection. Qualcomm’s global R&D teams are helping to lead industry’s efforts for next-generation AR. Qualcomm’s involvement in AR not only includes research and development (R&D) but also commercialization efforts.

     

     

    Tasks details:

     

    Several AR applications such as tracking, scene change detection can be made more robust using information from sensors such as gyros and accelerometers present in phones. The goal of this project is to evaluate the benefit of having additional (to vision based) sensors such as gyros and accelerometers for AR applications. It is of interest to investigate the benefits of combining information from these modalities under a loose as well as tight integration framework.

     

    Skills:

     

    -         

    Computer vision and image processing. Experience developing AR apps is a plus

    -         

    Experience in Inertial navigation systems and IMUs

    -         

    Knowledge of estimation theory and filtering techniques (EKF, particle filters)

    -         

    Experience in sensor-aided vision based navigation is a bonus

    -         

    Coding in Matlab and C/C++

     

    Education:

     

    In study towards a Master's or PhD degree in Electrical Engineering, Computer Science or Computer Engineering. Must be available for at least 3 months in the spring or summer

     

    Please apply using the following link; and also mail a copy of resume and cover letter to mramacha@qualcomm.com 

    https://jobs.qualcomm.com/public/jobDetails.xhtml?requisitionId=1883654&page=jobSearch

     

     

    Mahesh Ramachandran