A postdoctoral position on segmentation of prostate from daily CT
images is available in IDEA lab
(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 statistical deformable segmentation methods for segmenting prostate
from daily treatment CT images.
The successful candidates will be part of a diverse group including
radiologists, psychologists, 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 ([log in to unmask]).
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