The Department of Radiology and Biomedical Imaging at the University of California San Francisco is expanding the breadth and depth of the existing research program based at the VA Medical Center in San Francisco. In support of this expansion the Department is opening a search for several faculty positions for Imaging Scientists who will work closely with clinical faculty to develop powerful new capabilities in translational imaging. Each position will have partial hard money support from the VA Medical Center. The selected candidates will be appointed at the level of Assistant, Associate, or Full Professor in the In-Residence or Adjunct series depending on qualifications and interests.
Candidates with expertise in vascular imaging, musculoskeletal imaging, or big data as it relates to imaging studies, will be given special consideration. However, given the breadth of expansion, candidates who excel in other in vivo imaging areas will also be considered. The successful applicants will be expected to build a research program of excellence, to contribute to the functioning of the academic medical center, and to engage in teaching.
The position requires a PhD degree in Electrical and Computer Engineering, Biomedical Engineering, Physics or Related Field, and with post graduate or postdoctoral training and research experience in medical imaging since obtaining their PhD, preferably at least two years combined.
Please apply online with CV, cover letter, and a statement of contributions to diversity at https://aprecruit.ucsf.edu/apply/JPF01911. In the cover letter please include a brief description of prior teaching and research experience.
UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.