The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. LONIâs 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.
We are seeking a motivated postdoctoral researcher in the field of neuroimaging and informatics, to join INI Microstructural imaging Group (www.ini.usc.edu/IMG/). The research will focus on structural and microstructural modelling of brain tissue and brain clearance system. The successful applicant will have experience in mathematical modeling, biomedical image analysis, statistical analysis, bioinformatics, big data, multimodal MRI, methods development in MRI, or data mining techniques.
The selected candidate will be part of USC Mark and Mary Stevens Neuroimaging and Informatics Institute and 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. LONIâs 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
Check out our last yearâs Annual Report to learn more about researches that we do.
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
Minimum education: PhD or equivalent doctorate within previous three yearsMinimum experience: 0-1 yearMinimum field of expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methodsMinimum experience: analysis, assessment/evaluation, communication - written and oral skills, organization, planning, problem identification and resolution, project management, research
Internal Number: REQ20089636
USC is the leading private research university in Los Angeles—a global center for arts, technology and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Family—the faculty, staff, students, and alumni who make USC a great place to work—you will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.