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, http://nicr.ini.usc.edu) 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, http://www.loni.usc.edu) at the Stevens Neuroimaging and Informatics Institute of USC (http://www.ini.usc.edu). 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 http://nicr.ini.usc.edu. At USC, there are rich opportunities of collaborating with world-class AD researchers in the Alzheimer’s Disease Research Center (ADRC, http://adrc.usc.edu) and Alzheimer’s Therapeutic Research Institute (ATRI, https://keck.usc.edu/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 (email@example.com).
|Organization||University of Southern California|
|Location||Los Angeles, California|
|Title||Neuroimaging and Machine Learning PostDoc Positions at USC|