Assistant Professor of Research Neurology
USC Stevens Neuroimaging and Informatics Institute
The USC Stevens Neuroimaging and Informatics Institute aims to enhance discovery through the application of imaging and other data and information technologies in the study of the brain. The Institute is dedicated to excellence in data acquisition, analysis, stewardship and computational innovation for the purpose of biomedical research.
The institute is comprised of the Laboratory of Neuro Imaging (LONI), the Imaging Genetics Center (IGC) and the Center for Image Acquisition (CIA). The Laboratory of Neuro Imaging (LONI) seeks to improve understanding of the brain in health and disease. The laboratory manages considerable computational infrastructure and is dedicated to the development of scientific approaches for the comprehensive mapping of brain structure and function. The Imaging Genetics Center (IGC) is involved in studying brain imaging, genetics, and the connections between them. The Center for Image Acquisition (CIA) is home to a Siemens Magnetom Prisma, a new 3 Tesla MRI scanner and a Siemens Magnetom 7T MRI scanner, and is focused on the development and application of innovative MR image acquisition in normal and diseased subjects.
In addition to the research goals, INI trains the next generation of scientists through the Masters in Neuroimaging and Informatics program. This one‐year advanced program of study will provide students with a deep understanding of the scientific and clinical underpinnings of neuroimaging science and how to leverage it in largescale to make new and important discoveries in biomedicine.
The USC Stevens Neuroimaging and Informatics Institute seeks highly‐qualified applicants for the position of Assistant Professor of Research (non‐tenure track). The successful applicant will have a minimum 2+ years experience in biomedical image analysis, bioinformatics, big data, multimodal MRI, methods development in MRI, or data mining techniques. We require a strong mathematical background, particularly in areas of diffusion imaging, ultra‐high field imaging, and machine learning, with a PhD in Biomedical Engineering, or related disciplines. The applicant must demonstrate extensive programming skills in several languages, such as C++, Python, Matlab, Java, R. The applicant must have substantial experience in developing and validating biologically relevant models from complex MRI data. The applicant must be internationally recognized for their technical and mathematical sophistication, as demonstrated by first‐author publications in premier medical imaging conferences and journals: ISMRM, Magnetic Resonance in Medicine, etc.
The applicant must have demonstrated teaching and leadership ability, for example via organized workshops, and student mentorship. Once established, the Assistant Professor of Research is expected to teach a course in the NIIN Masters Program. There are significant opportunities for career development and involvement in neuroimaging collaborations worldwide.
Please apply here with a cover letter, CV and list of references. For questions, please contact: firstname.lastname@example.org. Incomplete applications may not be reviewed. Principals only; no agency or offsite. Absolutely no calls.
The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply.
REQ20055871 Posted Date: 02/07/2018
Location/Region: Los Angeles, CA (US)