ITK/Job Opportunities
Please feel free to post announcements for jobs and positions that are related to ITK and applicants with ITK experience. Once the position has been fulfilled, please update the entry accordingly.
Spring 2006: National Institutes of Health Postdoc
Post-doctoral Fellowship Medical Image Processing – Computer-Aided Detection Warren G. Magnuson Clinical Center Department of Radiology National Institutes of Health U.S. Department of Health and Human Services
A post-doctoral fellowship is available in three-dimensional radiology image processing. Specific interest areas are virtual endoscopy, volumetric visualization, image segmentation, registration and computer-aided detection (including feature extraction, classification, image databases and observer performance analysis [ROC]). In particular, advanced skills in image segmentation (level sets, active shape/appearance models, etc.) are sought. Fellows have access to state-of-the-art whole body MRI, multi-detector helical CT, advanced graphics workstations (Windows PC) and Beowulf massively parallel processing cluster. Candidates must have or soon expect to receive doctorates in physics, biophysics, mathematics, statistics, biomedical engineering or computer science. Applicants with a proven track record as evidenced by peer-reviewed publications on medical applications of computer visualization and image processing and having advanced mathematical and computer skills are encouraged to apply. Initial appointment is for one to two years and is renewable thereafter on a periodic basis. Applications should include a CV, brief statement of research interests and three letters of reference. Applications are due 6 weeks after posting of this announcement. DHHS and NIH are Equal Opportunity Employers.
- Address applications to:
Ronald Summers, M.D., Ph.D. Chief, Clinical Image Processing Service
and Virtual Endoscopy and Computer-Aided Diagnosis Laboratory
Department of Radiology National Institutes of Health Building 10 Room 1C660 Bethesda, MD 20892-1182 E-mail: rms at nih dot gov Web site: http://www.cc.nih.gov/drd/summers.html
Spring/Summer 2005: National Institutes of Health Postdoc
Post-doctoral Fellowship Medical Image Processing Department of Radiology National Institutes of Health Department of Health and Human Services
A Post-doctoral fellowship is available in three-dimensional medical imaging. Specific interest areas are image processing (virtual endoscopy, volumetric visualization, image segmentation, registration, fusion, and algorithm development) and computer-aided diagnosis (feature extraction, classification, and databases). Fellows have access to state-of-the-art whole body MRI, 16-row detector CT+PET and advanced graphics workstations (PC and Beowulf cluster). Candidates must have or soon expect to receive doctorates in applied mathematics or computer science. Applicants with a proven track record as evidenced by peer-reviewed publications on image processing and having strong software development and C++ skills are encouraged to apply. GPU shader programming experience is a plus. Applications should include a CV and a brief statement of research interests. NIH is an equal opportunity employer. If a US work permit is not available, then the only visa the NIH can provide for this position is a J visa.
- Address applications to:
Ingmar Bitter, Ph.D. Clinical Image Processing Services Diagnostic Radiology Department National Institutes of Health Building 10 Room 1C660 Bethesda, MD 20892-1182 E-mail: ibitter at nih dot gov
November 2004: Kitware
Kitware is seeking to fill positions immediately. We are looking for people who will relocate to the Albany, NY USA area, are willing to work in a small company, and show flexibility in work assignments. Important skills include proficiency in C++, scientific software development, medical image analysis, and/or ITK. Individuals demonstrating expertise in areas that significantly extend Kitware's software skill base are particularly favored. Please send your resume to kitware at kitware.com.
Will
William J. Schroeder, Ph.D. Kitware, Inc. 28 Corporate Drive, Suite 204 Clifton Park, NY 12065 will.schroeder at kitware.com 1-518-371-3971 x102 (phone) 1-518-371-3971 (fax)
Nov 2004: National Institutes of Health Staff Scientist
Warren G. Magnuson Clinical Center National Institutes of Health U.S. Department of Health and Human Services
Staff Scientist Medical Image Processing
The Department of Radiology is seeking a Staff Scientist to support our research efforts in image processing (virtual endoscopy, volumetric visualization, segmentation, registration and algorithm development) and computer-aided diagnosis (feature extraction, classification, database development). In particular, advanced skills in image segmentation (level sets, active shape/appearance models, etc.) are sought. The incumbent will work closely with a team of computer scientists and engineers. Applicants with a proven track record as evidenced by peer-reviewed publications on medical applications of image processing and having advanced mathematical and computer skills are encouraged to apply. Demonstrated expertise in C++ and ITK (NLM’s Insight Toolkit) are required. The candidate should have a Ph.D. in Electrical or Biomedical Engineering, Computer Science, Mathematics, Biophysics or Physics. Salary commensurate with experience. Applications should include a CV, brief statement of research interests, and three letters of reference. Applications are due 6 weeks after posting of this announcement. DHHS and NIH are Equal Opportunity Employers.
Address applications to:
Ronald Summers, M.D., Ph.D.
Chief, Clinical Image Processing Service
and Virtual Endoscopy and Computer-Aided Diagnosis Laboratory
Department of Radiology
National Institutes of Health
Building 10 Room 1C660
Bethesda, MD 20892-1182
E-mail: RobertsonS at cc dot nih dot gov
Web site: http://www.cc.nih.gov/drd/summers.html
June 2004: Computer Vision Research Position
Computer Vision Research Positions at GE Global Research Visualization and Computer Vision Lab
We are seeking highly qualified candidates to innovate and develop computer vision technology for commercial and government applications. We are particularly interested in recruiting candidates with expertise in one of the following areas:
- Machine Learning - applying semantic knowledge to practical vision problems
- Deformable Registration / Deformable Modeling
- Segmentation
- Object Detection and Tracking
The Visualization & Computer Vision Lab at GE Global Research in Niskayuna, NY conducts basic and applied research in computer vision and closely related areas. With 30 Staff Researchers (most holding a PhD) the lab develops advanced technologies for GE businesses, including GE Security, GE Healthcare, GE Aircraft Engines, GE Power Systems and NBC Universal; Lockheed Martin; and US Government agencies including NIH, DARPA, FBI, AFRL and NIMA. Areas of active research include image segmentation, deformable registration, perceptual organization, texture classification, object detection, event recognition, tracking, camera calibration, optical metrology, video content extraction, change detection, and superresolution.
We are active users and contributors to ITK and VXL; experience with either of these toolkits is desired. Strong C++ skills along with a superior ability to work in a team environment are essential qualities for successful candidates.
Interested? Please contact Jim Miller at `millerjv at research.ge.com`
Visualization & Computer Vision GE Research Bldg. KW, Room C218B P.O. Box 8, Schenectady NY 12301
August 2004: University of North Carolina (CADDLab)
Research Assistant in Software Development for Medical Image Analysis
The Computer-Aided Diagnosis and Display Laboratory (CADDLab) in the Department of Radiology at the University of North Carolina at Chapel Hill seeks to hire a full time research assistant. Qualified applicants will have outstanding C++ programming skills, the ability to work with others, and strong self-motivation. Experience with image analysis, computer graphics, the NLM's Insight Toolkit, or Kitware's Visualization Toolkit is a plus. Applicants should have an MS in computer science or related program or exceptional practical experience. Pay is commensurate with education and experience.
If you are interest, please email CV and a list of three references to me: aylward@unc.edu
To find out more about our research, visit our web site: http://caddlab.rad.unc.edu
Cheers,
Stephen
Dr. Stephen R. Aylward Associate Professor of Radiology Adjunct Associate Professor of Computer Science and Surgery http://caddlab.rad.unc.edu aylward [at] unc [dot] edu (919) 966-9695
