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 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.
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.
If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).