A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available in UNC-Chapel Hill. The successful candidate 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. The research topic will be the development and validation of novel machine learning methods for early diagnosis and prediction of brain
disorders. Please visit group website (http://bric.unc.edu/ideagroup) for more information.


UNC-Chapel Hill


The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, regression methods, or sparse representation. People with strong experience on machine learning are particularly encouraged to apply.

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About University of North Carolina at Chapel Hill

The University of North Carolina at Chapel Hill, the nation’s first public university, ranks among the world’s leading research universities. A member of the prestigious Association of American Universities, Carolina regularly ranks as the best value for academic quality in U.S. public higher education. The University offers 78 bachelor’s, 112 master’s, 68 doctorate and seven professional degree programs through 14 schools and the College of Arts and Sciences.