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 large-scale 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) and Assistant Professor (tenure track). The successful applicant will have a minimum 5+ years experience in medical imaging algorithm development, particularly in these areas: brain shape analysis, discrete differential geometry, brain image and surface registration, brain structural connectivity analysis. We require a strong mathematical background, particularly in areas of variational calculus, differential geometry, network theory, optimization and statistics, with a PhD in Computer Science, 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 implementing automated processing software for brain MRI data. Ideally, this should be demonstrated by both (a) publicly available distributed software packages, authored by the applicant; and (b) sufficient number of publications utilizing the software tools by groups both external and internal to the applicant’s institution. Some application of the software tools to imaging genetics is particularly desirable. 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: IPMI, MICCAI, IEEE TMI, etc.
The applicant must have demonstrated teaching and leadership ability, for example via organized workshops, and student mentorship. Further, the applicant must have demonstrated the ability to procure independent research funding.
Once established, the Assistant Professor is expected to teach a course in the NIIN Masters Program. There are significant opportunities for career development and involvement in neuroimaging collaborations worldwide.
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.
Apply at the following: http://jobs.usc.edu:80/postings/58212 and include cover letter, CV, salary history and list of references. Include in your cover letter where you saw this posting or how you learned of this opening.
Incomplete applications may not be reviewed. Principals only; no agency or offsite. Absolutely no calls.