Computer Vision Jobs
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Research Fellows - Oxford Brookes, Computer Vision/Natural Language/Machine Learning
Several research fellowships available, Looking for researchers of exceptional talent to conduct 2 year research fellowship to work closely with Professor Philip Torr (http://cms.brookes.ac.uk/staff/PhilipTorr/), at Oxford Brookes vision research group http://cms.brookes.ac.uk/research/visiongroup to work on various projects connected with our ongoing work on scene understanding and natural language description of scenes (see here for recent publications http://cms.brookes.ac.uk/staff/PhilipTorr/papers.htm).
There will be a large amount of freedom for the researcher and it is expected that applicants will have a top flight record, as evinced by publications in top venues such as ICCV, NIPS, ECCV, SIGGRAPH, CVPR, PAMI, JMLR, IJCV etc. The candidate will benefit from close mentoring to encourage them to develop into a top flight researcher.
The computer vision group at Oxford Brookes has a strong international reputation, having taken scientific best paper awards at all the conferences mentioned previously, it is an exceptionally stimulating environment, with strong connections to the top industrial research labs such as Sony, Microsoft and Google, as well as very close links with the Visual Geometry Group at Oxford University with whom we share reading groups and seminars. It is soon to move to brand new facilities near the heart of Oxford, a very academically vibrant city.
For further information contact philiptorr@brookes.ac.uk (http://cms.brookes.ac.uk/staff/PhilipTorr/)
Research Associate in Cognitive Vision at University of Hamburg: Sign Language Processing
In the context of a sign language corpus project (DGS-Korpus, www.dgs-korpus.de) we are looking for a research associate to further develop 3D processing and modeling of multi-cam sign language data. This position is on the German salary level E13-TVL, it will ideally start on April 1st, 2012 and end on Feb 28, 2015.
For more details, please see the full advertisement text at http://www.verwaltung.uni-hamburg.de/stellenangebote/wissmit/SLMI_1_17-0....
CP7.0 - Seven PhD scholarships in colour printing
Thanks to a generous grant from the EU, for establishing an Initial Training Network entitled "Colour Printing 7.0: Next Generation Multi-Channel Printing (CP7.0)," The Norwegian Color Research Laboratory and its project partners now invites applications for 7 three year full- time early stage researcher (PhD student) positions.
PHD 1: "Spectral modelling" at Gjøvik University College, Norway
PHD 2: "Spectral gamut prediction and mapping" at Technische Universität Darmstadt, Germany
PHD 3: "Paper optical and surface properties" at Voxvil AB, Sweden
PHD 4: "Applications in Fine Art" at University of the West of the England, UK
PHD 5: "Halftoning and tonal reproduction" at Linkopings Universitet, Sweden
PHD 6: "Optimization of print quality" at Oce Print Logic Technologies SA, France
PHD 7: "Spectral Colour Management" at Gjøvik University College, Norway
The recruited researchers will be integrated in high-level international research environments at one of the project full partners, Gjøvik University College (Norway), Technische Universität Darmstadt (Germany), Voxvil AB (Sweden), University of the West of England (UK), Linköpings Universitet (Sweden), and Océ Print Logic Technologies SA (France), in close collaboration with other researchers from the CP7.0 consortium which also includes eight industrial and academic associate partners throughout Europe.
In addition to carrying out significant high quality research to solve key challenges in multi-channel colour printing, the recruited candidates will participate in a rich program of organized research training activities, including one half year of secondments to other consortium partners. This program will enable them for a future career as printing scientists and innovators who can be the next generation of scientific and technological leaders in the European printing industry.
The application deadlines vary between partners, but start as early as February 15, 2012. For more details about the project, consortium, research topics, and application procedures please visit http://www.cp70.org, or write to Prof. Jon Y. Hardeberg at jon.hardeberg@hig.no.
Internship at Siemens Corporate Research (SCR), Princeton, NJ
Siemens Corporate Research (SCR) in Princeton, New Jersey, USA, has an immediate 6 month internship opening in the area of cloud computing for medical image analysis. Our focus is to exploit large collections of data to build robust organ segmentation applications. The position involves developing a web-based solution for managing and visualizing the results of these applications. The successful candidate will be able to apply their skills in the design and development of this platform.
The ideal candidate will be proficient in web-based technologies (e.g., JavaScript, sql, php, .net, REST, soap, etc.) and have experience working on large scale web-based projects. A good working knowledge of C++, an interest in computer vision, pattern recognition, and software engineering are also valuable qualities. 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. 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. Our interns have an opportunity to apply 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.
Please send your resume to: neil.birkbeck at siemens.com. Also indicate the time frame you would be available.
Object recognition for automated merchandising applications
Planorama has an immediate 6-months research internship opening in the area of specific object recognition.
Planorama is a young french award-winning company bringing the power of cutting-edge computer vision research applications to merchandising professionals.
Planorama is developing algorithms to extract information from complex images, presenting specific challenges. The focus is on image retrieval from moderate-size but challenging databases with a huge number of real-world queries. Top performance is required.
In this problem-solving context, the intern will be mentored by a PhD in the field and encouraged to push the most grounded knowledge to the test. The intern will have the prospect of seeing their successful developments used everyday by the company production department in the near future.
Candidates are MS students having high analytical qualities with a solid theoretical basis, and preferably project experience in one or more of the following subjects: image processing; object recognition; image retrieval; machine learning.
The intern is expected to be comfortable with C++. Python is a plus.
Planorama is located in a typical popular district in the wonderful town of Paris. The intern will be part of a small dynamic team of developers, in a larger international set of employees. Proficiency in english or french is required.
Contact
Please send your resume to Dr. Anne-Marie Tousch at amtousch@ planorama.com. Indicate availability dates in the message body. Starting and ending dates are negotiable.
Image Processing Scientist
AS&E is a world leader in the development and production of state-of-the-art X-ray inspection systems. AS&E systems are used around the world to detect threats and contraband at ports, border crossings, high-threat facilities, and other environments. AS&E has an important mission - keeping the world a safer place. It is our employees who play the most important role in making our mission a reality.
The qualified candidate will perform various image processing tasks and support the image processing team. The focus will be on developing operator assist algorithms, with emphasis on multi-view systems; for both Backscatter and Transmission imaging modalities. This position will also support the full product cycle including algorithm development, prototyping and testing, and productization.
Qualifications:
M.S. Degree in Electrical/Computer Engineering or equivalent field with relevant research/work experience
2 years minimum experience is required, with emphasis on image processing
Must have solid software skills with emphasis on Matlab and C++/C#, .NET and Object Oriented programming with emphasis on Image Processing
Must have signal and image processing and enhancement skills, image scene understanding, pattern recognition and computer vision
Self-starter and capable of working in a fast paced environment
Ability to come up with new ideas as well as communicate them to the rest of the Science team
U.S. Citizen or Permanent Resident
To Apply:
www.as-e.com
Postdoctoral Positions in Medical Image Analysis, University of Pennsylvania Dept. of Radiology
The Computational Breast Imaging Group (CBIG) of the Radiology Department at the University of Pennsylvania has open postdoctoral positions. CBIG is the research group of the Breast Imaging Division with a mission to act as a translational catalyst between computational imaging science and breast cancer research. We are developing an emerging research program investigating the role of quantitative imaging as a biomarker for guiding personalized breast cancer screening, prognosis, and treatment. Work in our group focuses both on developing innovative methodology for multimodality breast image analysis (e.g., segmentation, feature extraction, pattern analysis, etc.) and also on incorporating such methods into clinically relevant applications.
Postdoctoral Position Qualifications:
We are seeking highly motivated individuals with demonstrated academic excellence, including a track record of publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Proficiency in quantitative analytical methods and computer programming languages (e.g., Matlab, C/C++, ITK) is essential. Experience with medical image analysis (e.g., MRI, CT, Mammography, Ultrasound) or statistical methods and software packages (e.g., SPSS) is a plus. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively both independently and as part of a multidisciplinary team.
Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators, and will gain a first-hand experience of our breast imaging program. Collaborators include faculty in our Radiology department, the Abramson Cancer Center, the Institute for the Translational Medicine and Therapeutics, and the Center for Clinical Epidemiology and Biostatistics.
For more information, please visit:
CBIG Lab:
http://www.uphs.upenn.edu/radiology/research/labs/cbig/
Penn Radiology Breast Imaging:
http://www.uphs.upenn.edu/radiology/patient/services/women/
Penn Radiology Research Labs:
http://www.uphs.upenn.edu/radiology/research/labs/
Penn Biomedical Postdoctoral Programs:
http://www.med.upenn.edu/postdoc/
For more details and to apply contact:
Despina Kontos, Ph.D.
Research Assistant Professor
Computational Breast Imaging Group (CBIG)
University of Pennsylvania, Department of Radiology
3600 Market St. Suite 360
Philadelphia PA 19104-2643
ph: 215-615-0827 // fx: 215-349-8972
em: Despina.Kontos@uphs.upenn.edu
Applications should include a letter of motivation, a curriculum vitae, and names and addresses of three references.
The University of Pennsylvania is an equal opportunity employer.
A Postdoc Researcher position in Computer Vision and Machine Learning for bioimage analysis
A Postdoc researcher position is available in the Machine Learning for Bioimage Analysis Group, Bioinformatics Institute, Singapore. We are seeking a highly motivated applicant to develop novel computer vision and machine learning algorithms for solving bioimage analysis related problems, including but not restricting to segmenting, recognizing, and tracking cellular and sub-cellular objects from microscopic images. We have been collaborating with leading biologists in the field and there are ample opportunities to publish high impact research work. Candidates with the following skills/criteria are preferred:
(1) PhD with demonstrated ability to conduct high quality research in computer vision and machine learning. A track record of publications in top venues.
(3) Strong programming skill in Java/C++.
(4) Good communication skills and a team player.
(5) Background in biology is *not required*. However, candidate should be willing to learn basic domain knowledge.
The start date is flexible and is expected to be around June 2012. The position is for 2 years with a good possibility for renewal.
Applications including a cover letter and CV can be sent through email to chengli@bii.a-star.edu.sg.
About Us: We are an inter-disciplinary research group working in computer vision and machine learning with applications to bioimage analysis. Our institute, Bioinformatics Institute, is located in a research hub with a number of renowned biological research institutions, in the beautiful city nation of Singapore. More information can be found at the following websites:
http://www.bii.a-star.edu.sg/research/iig/mlba.php
TECHSTARS Startup seeks Computer Vision Engineer
TECHSTARS start-up seeks a Computer Vision Expert to join their talented team.
Immersive Labs is a funded Techstars NY company providing face detection technology designed to adapt content on digital signs. We're on the cusp of something that is world changing and have scheduled deployments nationwide. Immersive Labs was selected as one of the Top 25 hottest start ups to watch in New York City by Business Insider.
Responsibilities:
Design, implement and optimize computer vision / image processing algorithms including: object detection, object recognition and tracking.
Working with machine learning algorithms for use in real time applications on real world problems.
Strong knowledge of standard image processing algorithms is required.
Skills and Education
Extensive programming experience in Open CV, C++, C
Solid foundation in computer science, with strong competencies in
systems architecture, data structures, algorithms and software design.
Perform large-scale data analysis and mathematical modeling
MSc or PhD in Computer Science|
Focus on computer vision and/or AI and Machine Learning
Compensation
A shiny new computer
Help build technology that will change the world
Free breakfast on Monday mornings (seriously)
Access to goodies in the fridge including plenty of caffeine
Competitive salary
Comprehensive benefits package
Apply Here: http://immersivelabsjobs.theresumator.com/apply/R2ZU2J/Computer-Vision-E...
Postdoctoral fellow in dynamic and spectroscopic MR image reconstruction
A post-doctoral fellowship is available at the Department of Electrical & Computer Engineering at the University of Iowa. The research involves the development of novel compressed sensing algorithms to advance the state of the art in dynamic and spectroscopic MRI, with applications to oncology and cardiovascular imaging. The fellowship provides an opportunity to work in an interdisciplinary team at the Iowa Institute of Biomedical Imaging (IIBI) and clinical researchers at the Department of Radiation Oncology. Facilities at MRRF include a research dedicated Siemens 3T TIM Trio MRI scanner and shared 3T and 1.5T Siemens magnets. A 7T GE research scanner will also be available by 2013.
Applicants must have a PhD or equivalent in electrical/biomedical engineering, computer vision, medical physics, or closely related field. The ideal candidate would have a strong signal processing background and expertise in developing image reconstruction algorithms. A record of peer reviewed journal publications and expertise in C/C++, and/or Matlab are essential. Experience with IDEA sequence programming is desirable, but not required. The position is initially for one year and is extendable up to three years, based on performance.
This position is immediately available, while the start date is negotiable. The position will come with the health and other benefits at the University of Iowa. Qualified candidates are encouraged to apply.
The application must include the following:
Cover letter highlighting the candidate’s suitability for this position;
Curriculum vitae;
Up to three selected preprints/reprints most relevant to this position;
Two letters of recommendation.
The application should be sent to Dr. Mathews Jacob at the address below (e-mail applications only). The position is available immediately until filled.
Dr. Mathews Jacob,
Department of Electrical and Computer Engineering,
The University of Iowa
Email: mathews-jacob@uiowa.edu
URL: http://www.engineering.uiowa.edu/~jcb/