A postdoctoral position on PET/MRI data analysis 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 sparse learning, super-resolution, and data fusion. Experience on image feature learning, selection, integration and prediction is highly desirable. People with machine learning background on sparse representation and regression 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 image processing methods for integrating PET and MRI for data enhancement and resolution improvement.

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 mailto:dgshen@med.unc.edu).