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(a)med.unc.edu <mailto:dgshen@med.unc.edu>).