The selected candidate will be part of USC Mark and Mary Stevens Neuroimaging and Informatics Institute nd Laboratory of Neuro Imaging (INI, www.ini.usc.edu). INI focuses on development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. LONI’s unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. INI offers a wide range of computational and imaging resources:
- High performance computing
- 3T Prisma Siemens scanner
- 7T Terra Siemens scanner
- A collaborative environment within the Keck school of medicine of USC
Requirement
- PhD in Biomedical imaging, computer science, applied mathematics, statistical analysis, neuroscience or related fields
- Experience with MR image analysis
- Image and signal processing
- Statistical and big data analysis
Please send a short statement of purpose and full CV to farshid.sepehrband@ini.usc.edu