A postdoctoral research associate position in parallel MR imaging and compressed sensing is available at the Multimodal Imaging in Neuro Disorders (MIND) laboratory of the University of North Carolina at Chapel Hill. Our current effort is focused on developing accelerated high spatioangular resolution diffusion MR imaging techniques for neuroscience applications.
We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. The candidate should have a Ph.D. (or equivalent) in Computer Science, Applied Mathematics/Statistics, Electrical Engineering, Biomedical Engineering, or related fields. Experience in diffusion MRI physics/acquisition, compressed sensing, and optimization is highly desirable. Competence in programming beyond MATLAB (good command of Linux, C/C++, CMake, ITK, VTK, etc.) is essential. The candidate should ideally have a strong background in MR data processing and reconstruction.
The successful candidate will be part of a diverse group including radiologists, psychologists, physicists, biostatisticians, and computer scientists, and will build upon the group's extensive foundation on medical image analysis. The candidate will also have the opportunity to work with state-of-the-art equipment such as a PET-MR scanner and a 7T whole-body MRI scanner.