Faculty- AI Medical Imaging Research #RAD071
The University of Chicago

Description

The University of Chicago's Department of Radiology in the Biological Sciences Division is searching for tenured or tenure-track faculty members at any rank.

We seek applicants trained in Medical Physics who will develop a premier academic program focused on the use of artificial intelligence (AI) to approach fundamental questions in biomedical physics and biomedical imaging, and related areas.

Duties will include teaching and supervision of students and scholarly activity. Primary appointments will be in the Department of Radiology, although we anticipate that appointees will develop close interactions with other departments, divisions, schools, and institutes at the University of Chicago to strengthen interdisciplinary scholarship on major questions relevant to the advancement of human health.

The University of Chicago is a vibrant center of scientific discovery and innovation, and opportunities for multidisciplinary collaboration are abundant, both within and outside the Biological Sciences Division. The Division, other academic units of the University, and the University of Chicago Medical Center, are all contained within one compact campus in Chicago's Hyde Park. Appointees will have access to state-of-the-art core facilities and to outstanding colleagues and graduate students affiliated with numerous degree-granting programs within and outside the biological sciences. Competitive research space and start-up funding will be available, as will the potential for significant interactions with our affiliates, Argonne National Laboratory, Fermi Lab, and the Marine Biological Laboratory.

Prior to the start of employment, qualified applicants must: 1) have a doctoral degree in medical physics or equivalent and 2) have research experience in the application of AI to medical imaging.

To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/138273. Applicants must upload CV including bibliography, cover letter, and a research statement. Review of applications will continue until the positions are filled.

For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.