Neuroimaging and Machine Learning PostDoc Positions at USC

Wednesday 3rd July 2019

University of Southern California

Multiple Post-Doctoral fellow positions in neuroimaging and machine learning are available in the Neuro Image Computing Research Group (NICR-Group, at the Keck School of Medicine of University of Southern California (USC). The NICR-Group is led by Dr. Yonggang Shi (Associate Professor of Neurology and Electrical Engineering) and is part of the Laboratory of Neuro Imaging (LONI, at the Stevens Neuroimaging and Informatics Institute of USC ( Through the Stevens Neuroimaging and Informatics Institute, the post-doctoral fellow will have access to the ideal environment for brain imaging research including dedicated computer clusters (>4000 nodes) and state-of-the-art 3T and 7T MRI scanners.

In this position, the post-doctoral fellow will develop novel imaging markers for Alzheimer’s disease (AD). The post-doctoral fellow will have the opportunity of working on various aspects of AD imaging research from connectivity modeling, brain surface and vasculature analysis to learning-based disease classification. Representative NIH-funded projects in the NICR-Group can be found at At USC, there are rich opportunities of collaborating with world-class AD researchers in the Alzheimer’s Disease Research Center (ADRC, and Alzheimer’s Therapeutic Research Institute (ATRI,

The ideal candidate should have a PhD in engineering, computer science, or related fields, and strong background in medical image analysis. Prior research experience (publications) in brain imaging and machine learning is encouraged and a definite plus. Solid programming skills in C++/Matlab/Python are desirable. Interested candidates should send their CVs to Dr. Yonggang Shi (

Organization University of Southern California
Location Los Angeles, California
Title Neuroimaging and Machine Learning PostDoc Positions at USC