PROFESSOR to ASSISTANT PROFESSOR
Job Description
How to Apply
Please proved your CV and cover letter to:
Michele Mangner
Department of Radiology
Office of Faculty Affairs Manager
Job Summary
The Department of Radiology at the University of Michigan invites applications for a full-time faculty position from individuals with a research focus and mentorship experience in Artificial Intelligence (AI) and Medical Imaging. The rank ranging from Assistant Professor to Professor, on the instructional tenure track, will be based on experience and qualifications. The successful candidate will enhance our interdisciplinary expertise in applications of AI for medical imaging, diagnosis, treatment-response monitoring, prognosis prediction, and analysis and retrieval of clinical information. The Department of Radiology is a leading department nationally and internationally. Michigan Medicine and University of Michigan are consistently ranked among the top institutions in the nation.
Why Join Michigan Medicine?
The new faculty member will join a research group recognized for its interdisciplinary strengths in medical imaging, AI, computer-aided diagnosis and decision support, treatment-response monitoring, and the integration of imaging, molecular and clinical information for diverse machine learning applications. The successful candidate is expected to develop collaborations with existing research programs within the Department of Radiology and beyond.
The Department of Radiology is committed to fostering an inclusive environment, advancing medical imaging research, disseminating discoveries, and preparing physicians for excellence in clinical care. Candidates who have career goals and research and mentoring interests aligned with our missions are strongly encouraged to apply.
Required Qualifications*
A Ph.D. degree in computer science, electrical or biomedical engineering, medical physics, or related fields.
Training or work experience in digital image processing, computer visions, artificial intelligence, neural networks, deep learning, machine learning, and statistics.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Underfill Statement
This position is posted as Assistant Professor/Associate Professor /Professor. The rank of the selected candidate will depend upon candidate's qualifications.
Background Screening
Employment will require both a criminal background check and an institutional reference check regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as an authorization to release information form.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
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