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

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.

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

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

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.

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.

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

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.

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

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.

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.

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

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.

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

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.

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.

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  

PhD Studentship

Learning to Recognise Dynamic Visual Content from Broadcast Footage

Mark Everingham, University of Leeds, UK

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.

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 1^st 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 

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.

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.

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

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.

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.

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.

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

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

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:

• McGill's SRE Lab
• Virtual Presence and Performance Project

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

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

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).

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.

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.

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

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).

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

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

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++

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

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

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. 

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 15^th 2011. You can also contact researchers.opening@imtlucca.it for additional information.

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.

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

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.

 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.

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