ITK/Job Opportunities: Difference between revisions
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([http://public.kitware.com/pipermail/insight-users/2004-July/009562.html Original post]) | ([http://public.kitware.com/pipermail/insight-users/2004-July/009562.html Original post]) | ||
== 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@unc.edu | |||
(919) 966-9695 | |||
([http://public.kitware.com/pipermail/insight-users/2004-August/010260.html Original post]) |
Revision as of 23:20, 5 September 2004
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.
June 2004: National Institutes of Health Postdoc
Post-doctoral Fellowship Medical Image Processing Department of Radiology National Institutes of Health
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 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 scientific visualization or image processing and having strong software development and C++ skills are encouraged to apply. Initial appointment is for one year and is renewable thereafter. 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 Service Diagnostic Radiology Department National Institutes of Health Building 10 Room 1C660 Bethesda, MD 20892-1182 E-mail: IBitter at nih.gov
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
July 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. 469 Clifton Corporate Parkway Clifton Park, NY 12065 will.schroeder at kitware.com 1-518-371-3971 x102 (phone) 1-518-371-3971 (fax)
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@unc.edu (919) 966-9695