Several postdoctoral positions in medical image analysis are available at the IDEA Group of UNC-CH (https://www.med.unc.edu/bric/ideagroup). Our current effort is to enhance understanding of the working mechanism of the brain via diffusion weighted imaging (DWI) and functional magnetic resonance imaging (FMRI) by automatically mining information latent in images for the purposes of growth and disease analyses. The positions will support our efforts in advancing novel technologies for analyzing MR for applications in neuroscience. Possible research topics include, but are not limited to, improving disease classification by combining information from multiple modalities, white-matter bundle segmentation/modeling, and structural/functional analysis of subject groups involving infants, and patients with MCI/AD, schizophrenia, and multiple sclerosis. We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. Successful candidates should have a Ph.D. (or equivalent) in Computer Science, Applied Mathematics/Statistics, Electrical Engineering, Biomedical Engineering, or related fields. Competence in programming beyond MATLAB (good command of Linux, C/C++, Python, ITK, VTK, etc.) is essential. Experience in neuroscience, medical image analysis, machine learning, and mathematical modeling is highly desirable. 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 extensive foundation on medical image analysis.

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