(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC. The
successful candidate should have a strong background on Electrical or
Biomedical Engineering, or Computer Science, preferably with emphasis
on image feature extraction, shape representation, and shape
statistics. Experience on medical image segmentation using deformable
surface, level sets, and graph cut is highly desirable. People with
machine learning background on image features and shape statistics are
particularly encouraged to apply. Strong knowledge on programming
(good command of LINUX, C and C++, scripting, and Matlab) are
desirable. The research topic will be the development and validation
of deformable segmentation and registration methods for serial CT
images of prostate acquired during the radiotherapy of prostate
cancer.
The successful candidates will be part of a diverse group including
radiologists, physicists, biostatistician, and computer scientists,
and will build upon the group's previous work on medical image
analysis. If interested, please email resume to Dr. Dinggang Shen
(dgshen@med.unc.edu).
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