Several postdoctoral / research assistant (RA) positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.

Position 1 (One Position on Deformable Segmentation): 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 lung, liver, prostate, and brain.

Position 2 (One Position on Brain Image Registration): The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image analysis, or computer vision. Experience on medical image registration and analysis is highly desirable. People with machine learning background are particularly encouraged to apply. Knowledge on neuroscience and programming background (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and groupwise image registration methods for brain image analysis.

Position 3 (One Position on Brain Network Analysis): Applications are invited for a postdoctoral fellowship to develop and apply network analysis methods on brain MR images, e.g., structural MRI, functional MRI, and DTI. Candidates should have a doctoral degree in Biomedical Engineering, Computer Science, Mathematics, or related field; excellent interpersonal, organizational, and oral and written English communication skills.

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 (dgshen@med.unc.edu).