Jobs
Post Doc Job Posting
Section for Biomedical Image Analysis
The Section of Biomedical Image Analysis (SBIA), University of Pennsylvania, has two immediate post doc openings in:
1. Facial Expression Analysis in Neuropsychiatry: The project involves development of methods for analyzing group
differences between controls and patients with neuropsychiatric disorders, using 2D, 3D reconstructed and videos of
facial expressions. The candidate must have a good background in math and computer science and should have a PhD in
mathematics, computer science, computer vision, electrical engineering or a related field. Ideally the candidate should
have had some past experience in working with faces, tracking, shape analysis, surface reconstruction, camera calibration
and videos.
2. Diffusion tensor MRI (DT-MRI). The project involves algorithmic development in the analysis of DT-MRI data -
emphasizing on registration and high dimensional group statistics, with application to clinical problems. The candidate
must have a good background in math and computer science and should have a PhD in mathematics, computer science,
computer vision, electrical, biomedical engineering or a related field. Past experience in DT-MRI is a plus.
SBIA has been a dynamically growing medical image analysis group, including researchers and many collaborators from
diverse fields and offers diverse opportunities to researchers with interests in applying math and engineering knowledge
and models to the rapidly growing biomedical imaging field. More details about SBIA can be found here.
Interested candidates should write to:
Ragini Verma, PhD, Assistant Professor, SBIA, UPenn
Email: Ragini.Verma@uphs.upenn.edu
Postdoctoral Fellow / Research Scientist
Image Registration and Ultrasound Image Analysis
Applications are invited for 2 Postdoctoral Fellow / Research Scientist positions at the Computational Biomedicine Lab (www.cbl.uh.edu), University of Houston in the area of Biomedical Image Analysis and especially multimodal registration and ultrasound image analysis.
The Computational Biomedicine Lab provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering. The positions entail research in multimodal registration and ultrasound image analysis in collaboration with researchers from the Methodist Research Institute at the Methodist Hospital. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.
Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicants will have solid research, interpersonal, and communication skills. Prior biomedical image analysis training is welcome but not required.
The positions are open immediately and the salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF-document including cover letter, a full CV, a statement of research interests and career goals and the names and email addresses of three references to ioannisk@uh.edu, with subject line "PDF/RSP: (your name)".
For more information please email Prof. Kakadiaris (ioannisk@uh.edu).
Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.
Postdoctoral Fellow / Research Scientist
Biometrics
Applications are invited for a Postdoctoral Fellow / Research Scientist position at the Computational Biomedicine Lab (www.cbl.uh.edu), University of Houston in the area of Biometrics.
The Computational Biomedicine Lab provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering. The position entails research in novel biometrics. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.
Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicant will have solid research, interpersonal, and communication skills. Prior biometrics experience is required.
The position is open immediately and the salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF-document including cover letter, a full CV, a statement of research interests and career goals and the names and email addresses of three references to ioannisk@uh.edu, with subject line "PDF/RSP: (your name)".
For more information please email Prof. Kakadiaris (ioannisk@uh.edu).
Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.
Postdoctoral Position in Image Analysis
Los Alamos National Laboratory
The successful applicant will join the International Space and Response Division of the Los Alamos National Laboratory on a project aimed at investigating the state-of-the-art in image vectorization and the development of "rich metadata" from overhead imagery (i.e., number of roads, buildings, ships or vehicles). The project will involve research and development of non-traditional avenues for vectorization and content extraction, the adaptation of image vectorization and context extraction to area search and image segmentation, and matching/aligning raster images to vector maps. Extended into temporal change detection, the emphasis will be placed on investigating the correlation between reproducible and non-reproducible extracted image features and the ability to generate vectorized base maps and a vectorized estimate of change over time. This is the two-year Postdoctoral Research Fellowship funded by the IC postdoctoral research program, details on which can be found at www.dcipostdoc.org.
Required Skills: A strong background and demonstrated research experience in image analysis or computer vision and experience in either segmentation, object recognition, or computational geometry. Strong programming experience required, C or C++ preferred. The position requires U.S. citizenship.
Desired Skills: Machine learning, image registration, conflation.
Education: PhD in Computer Science or appropriate similar field completed within the last five years or soon to be completed.
Notes: Please direct any questions to Alexei N. Skurikhin at alexei@lanl.gov, or (505) 667-5067.
2 Postdoctoral Research Scientist Positions
Computer Vision and Machine Learning
Research Topic: Modeling and Recognition in Video
Positions are available in the area of computer vision and machine learning, with applications to scene understanding (3d reconstruction, object modeling, object and action recognition, image categorization) from video sequences. The research aims to design generally applicable methods for visual feature extraction based on hierarchical architectures as well as numerical optimization and machine learning techniques (graphical models, kernel methods, latent variable methods, semi-supervised learning algorithms), with a general demonstrator emphasis towards dynamic scene understanding -- relational models of visual scenes containing people interacting with objects, requiring models and representations for both of them.
Depending on the interest and strengths of the candidate the work can focus on one (or several) of the following aspects: numerical optimization and machine learning algorithms, 2d or 3d modeling, hierarchical feature extraction, computational visual attention mechanisms, object recognition and image categorization. The approach is strongly research oriented, targeting contributions to be published in high-profile international journals and conferences in computer vision, machine learning and computer graphics. We focus on novel theoretical and algorithmic contributions, but also the design of associated proof-of-concept prototypes.
Candidate Profile:
Applicants should have some background in computer vision, machine learning & AI or computer graphics.
Strong applied mathematics or physics background is a plus. Strong publications in internationally recognized conferences or journals
are required for research scientist / postdoctoral positions. Programming skills including (some of) the following, is necessary: C/C++,
graphics modeling libraries (OpenInventor, OpenGL), animation packages (Maya, Poser), or scientific programming environments (Matlab).
Application Process:
The successful candidates will be involved in research along one of the above themes in the research group of
Cristian Sminchisescu. Applicants for a Research Scientist / Postdoc position should have a PhD degree or equivalent qualifications.
Applications should include a curriculum vitae, a list of publications and the name of 3 senior researchers who might be contacted for reference letters.
Duration:
Subject to satisfactory annual progress, Research Scientist positions for periods of 1-4 years.
Contact email: sminchisescu@gmail.com
University of Western Ontario, Canada
A one year post-doctoral position (with a possibility of extension) is available at the computer science department, University of Western Ontario, Canada, under the supervision of Yuri Boykov and Olga Veksler. Our new laboratory for Image-based 3D Modeling Technologies is funded by a CFI-new opportunities grant which provided us with over $500,000 for acquiring a state of the art equipment. We conduct research in several areas of computer vision, including: 2D/3D segmentation, 3D reconstruction, and combinatorial optimization algorithms for computer vision/medical image processing. We provide a friendly and relaxed environment, and at the same time have a unique expertise in graph-cuts based optimization for computer vision.
Applicants are expected to have finished, or about to finish their Ph.D. degrees, have strong mathematical background, especially in the area of combinatorial optimization, have a track record of publications in top computer vision conferences, and have strong programming skills. Possible projects include: multi-view reconstruction, motion segmentation, 2D/3D segmentation, vision for graphics, combinatorial optimization. A suitable project will be chosen depending on the interests of the candidate.
The University of Western Ontario is located on 155 hectares of land along the banks of the Thames River in London , Ontario - a thriving city of 432,451 people, 200 kilometers west of Toronto.
Interested applicants should send a resume to: either Yuri (yuri@csd.uwo.ca) or Olga (olga@csd.uwo.ca).
Microsoft Research
Microsoft Research, Redmond, is currently looking to hire a post-doc researcher in computer vision specializing in object recognition or computational photography. A post-doc position typically lasts from one to two years, with an emphasis on research and academic publishing. Qualified applicants should have a Ph.D. (or close to defending) in computer science or related field, and a strong publication record. In object recognition and computational photography, research experience in the following subfields is preferred:
• Object category recognition
• Object instance recognition
• Feature extraction
• Image and video enhancement
For details on our group and other projects, please see the MSR website. Located on Microsoft's campus in Redmond, near Seattle, Washington, Microsoft Research is dedicated to basic and applied research in computer science.
If interested, please send an e-mail to Larry Zitnick (larryz@microsoft.com) containing the following information: research statement, CV and list of references.
The applicant should also request at least two references to email letters of recommendation directly to larryz@microsoft.com. The subject of all messages concerning
your application should be "Vision PostDoc:
Interviews and offers will be given on a "rolling basis" for qualified applicants. Ideally, applicants should be available to start Fall 2007, or early 2008.
National University of Singapore
We have started a project on Extreme Face Recognition. The objective is to recognize individuals from their faces under challenging conditions: e.g. low sensor resolution, high-speed situations, partial occlusion, limited training data. The primary modality is images/videos, but other sources of information may also be available. This is an ambitious project, requiring the development of new algorithms, building of software and hardware prototypes, and intensive experimentation.
We are looking for a post-doctoral research fellow to join our effort. The candidate should have a Ph.D. in Electrical Engineering or Computer Science or a related field from a good university. He/she should possess these essential skills: image/signal processing, computer vision, and pattern recognition. He/she should also be fluent in spoken and written English. Experience in hardware implementation (e.g. FPGA) of vision algorithms will be a bonus.
The job has exciting scope: developing real-time robust identification and verification algorithms, implementing them in hardware, field testing, etc. The research fellow will lead a small team of two or three research staff, and work closely with one of our research faculty member. Annual salary will be between S$50,000 to S$65,000, depending on experience (US$1 ≈ S$1.53). The contract will be for two years. Fresh Ph.D. graduates are encouraged to apply.
Please send your C.V. and two of your best published papers (in English) to:
The Temasek Young Investigators Project
c/o. Dr. Terence Sim
School of Computing
National University of Singapore
Singapore 117543
Email: dcssimt@nus.edu.sg
The School of Computing at the National University of Singapore (NUS) is at the forefront of IT teaching and research. Recently, the UK Times Higher Education Supplement ranked NUS 8th for Technology, and 19th overall in a worldwide ranking exercise. Acknowledged as one of the finest universities in the Asia-Pacific region, NUS is a comprehensive university offering a broad-based curriculum underscored by multi-disciplinary courses and cross-faculty enrichment. The School of Computing is made up of the Department of Computer Science, and the Department of Information Systems. The former conducts research and teaching on theoretical, technical and fundamental aspects of computer science and technology, while the latter focuses on combining the academic discipline of computer science and its practical applications with management.
Research Associate/Post-doctoral Research Fellow
University of British Columbia, Vancouver, BC, Canada
Multi-camera Systems for Ubiquitous Computing
The Human Communications Technology (HCT) Lab
Annual, renewable, starting immediately
$40,000-$60,000 CDN depending upon qualifications
The Human Communications Technology (HCT) lab performs leading edge research in human computer interfaces. We currently have 3 years funding for research involving multi-camera systems for human tracking and multi-capture single-image photography. We use a variety of cameras and software/hardware platforms for conducting the research. Our ultimate goal is to deploy a prototype system into a sports facility, such as a hockey rink, for interactive video broadcast of processed multi-camera video data during the Olympics in Vancouver in 2010.
This position involves being one of the lead technical engineers on the project as well as programming and development of the core technologies to deploy the infrastructure for the multi-camera system. In particular, you will be doing research on and developing: a multimedia database for multisensor systems, ubiquitous computing techniques, content delivery techniques and advanced image/vision processing. You will be working and coordinating with visiting faculty, post-docs, graduate students and undergraduates who are working on the project.
Skills at a research level that are important are:
familiarity with multi-media content including:
content delivery methods
database techniques
compression methods
client/server architecture including PDAs and cellphones.
knowledge of multi-camera image processing techniques at a researcher level
good communication skills including writing conference and journal papers
good people skills for working with others and coordinating the project
In addition, the following skills are an asset:
C, C++/Ajax/Java and web coding for MM
GUI development; some of AWT/Swing, Flash, Python/tkinter, etc.
MATLAB/fast prototyping tools, OpenCV
image/vision processing H/W knowledge
OpenGL knowledge
experience with developing large scale software projects
The fellow is expected to work closely with the principal investigators, Drs. Sid Fels, Jim Little and David Lowe, other post-docs and students on the project. The successful candidate is expected to publish in international conferences and journals with the team of researchers on the project.
Interested candidates should forward a statement of research, a CV, academic record, names of three referees and copies of relevant publications to Sid Fels (ssfels@ece.ubc.ca).
Deadline for applications: June 30, 2007. Hiring will continue until a suitable candidate is found.
Please contact Dr. Sid Fels, ssfels@ece.ubc.ca for more information about the position.
Computer Vision Laboratory EPFL
EPFL's Computer Vision Laboratory has an opening for a post-doctoral fellow in the field of Computer Vision and Human Body Modeling. The position is initially offered for 12 months.
Description:
The work will be carried out within the context of the VISIONTRAIN Marie Curie Research Training Network, whose goal is to address the problem of understanding vision from both computational and cognitive points of view. EPFL's main role within this project relates to human body modeling from video sequences. Within this context, the successful candidate will be able to work on a subject of his/her own choice.
Position:
The Computer Vision laboratory offers a creative international environment, a possibility to conduct competitive research on a global scale and involvement in teaching. Within the project, there will be ample opportunities to cooperate with some of the best groups in Europe and elsewhere. Salaries are in the range EUR 40000 to 45000 per year, the precise amount to be determined by EPFL's department of human resources. Because the project is funded under the Marie Curie rules, some nationality restrictions apply.
Education:
Applicants are expected to have finished, or be about to finish their Ph.D. degrees, to have strong mathematical background, and to have a track record of publications in top computer vision conferences and journals. Strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory.
Application:
Applications must be sent via email at: Pascal Fua (pascal.fua@epfl.ch). They must contain a statement of interest, a CV, a list of publications, and the names of three references.
Postdoctoral Fellow
Alcorn State University
3-D face recognition/human body recognition
Applications are invited for a Postdoctoral Fellow at Image processing and Bio-imaging Research Lab, System Research Institute, Alcorn State University in the area of 3-D face/human body recognition.
Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. Prior 3-D image processing and biometrics research experience is welcome but not required.
The positions are open immediately and the salary compensation is very competitive. For consideration, please submit your application to Dr. Jinshan Tang. (E-mail: jtang@alcorn.edu)
Postdoctoral Fellow
Vision for Robotics Laboratory
Technische Universität Wien, Austria
Open PostDoc and PhD Positions
Open Positions in Cognitive Vision
In relation to EU research projects (GRASPABLE, robots@home) and the Austrian Research Network "Cognitive Vision" we seek highly motivated researchers at PhD and PostDoc level with experience in computer vision, image processing, robotics and/or cognitive vision.
The ideal candidates would possess strong skills in computer vision methods and good knowledge in either mathematics, cognitive science, or robotics. Candidates preferably should have excellent programming skills, want to work in teams, and should be ready to grasp the opportunity of an exchange with one of our project partners. Background can be, but is not limited to, one of the following disciplines: computer vision, computer science, cognitive science, mathematics, electrical or mechanical engineering, or technical physics.
To learn more about the above projects and the work at the Vision for Robotics Lab please visit http://robsens.acin.tuwien.ac.at/.
These position shall be filled until March 2008 but can also start immediately. Positions are for a duration of up to four years. Depending on your qualification salary is up to €41.244,- per year (after all social and insurance benefits and taxes this is net €2.214,- per month).
Applicants should submit 1) a CV, including a brief research statement, 2) 1-3 recent publications in electronic format, and 3) the names and contact information of three individuals who can serve as references. The total file size of applications should be < 8 MB.
Applicants please contact:
Ao.Univ.Prof. Dr. Markus Vincze
Technische Universität Wien
Automation and Control Institute
Gusshausstrasse 27/376, 1040 Vienna, Austria
Fax: +431/58801-37697
E-mail: vincze@acin.tuwien.ac.at
Web: www.acin.tuwien.ac.at
