Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto

Description:

DEADLINE HAS BEEN EXTENDED TO SEPTEMBER 30, 2026

The Joint Department of Medical Imaging (JDMI), University Health Network (UHN), and the Department of Medical Imaging, Temerty Faculty of Medicine (TFOM), University of Toronto, are seeking applicants for the JDMI UHN Chair in Medical Imaging and Artificial Intelligence (AI) for a five-year term. The Department of Medical Imaging, TFOM has 350 faculty members. The Joint Department of Medical Imaging (JDMI) is comprised of 100 academic radiologists with annual volume of exams of approximately 700,000.

The successful candidate must already hold or be eligible for an academic appointment at the rank of Associate Professor or Professor within the Department of Medical Imaging, University of Toronto. Applications will be accepted until September 30, 2026, or until filled. Position start date to be mutually agreed upon. 

The Chair will undertake roles as agreed upon by the site and University of Toronto, such as: research, education & training, partnership development (collaborations, internal and external, knowledge translation and deployment of discoveries into clinical practice and commercialization, plus leadership and advisory roles). The Chair may be used for the development and support of research, education and other scholarly activities in Artificial Intelligence in collaboration with academic radiologists in the Joint Department of Medical Imaging.

Applicants from a wide variety of backgrounds, with an international reputation in their field, are encouraged. We welcome applicants who hold an MD with board certification in Diagnostic Radiology by the Royal College of Physicians and Surgens of Canada or its equivalent and/or PhD in a field related to imaging analysis, computer vision or artificial intelligence, have at least 5 years of practical or research experience in AI, have a prior publication record as first or senior author in AI and prior experience on projects involving analysis of medical images. If a practicing clinician, the successful candidate must hold, or be eligible for licensure with the College of Physicians and Surgeons of Ontario. Work experience in collaboration with a Department of Medical Imaging, prior successful grant applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision and prior teaching experience are considered valuable assets. Excellence in scholarly achievements, or a track record of collaborative science, productivity, are considered beneficial. The Chair will have demonstrated an ability to work collaboratively across disciplines and medical specialties and will develop the field of AI through research, education or other scholarly activities.

The Chair will be based at the University Health Network, and if the Chair holder is a clinician, they are expected to become a member of the UHN academic practice plan and will be entitled to additional support commensurate with academic and clinical activities. Compensation will be in accordance with the uniform average salary of a Radiologist in the Province of Ontario, with a range that exceeds $300,000 CAD per annum. 

Applications will be accepted until September 30, 2026 or until the position is filled . Interested candidates should submit a letter of interest, three letters of reference and curriculum vitae via e-mail to:

Dr. Heidi Schmidt and Dr. Michael Patlas c/o David Tihanyi at View email address on jobs.utoronto.ca

Qualified candidates may learn more about this opportunity by contacting:

Dr. Heidi Schmidt, Department Head and Program Medical Director, JDMI, View email address on jobs.utoronto.ca

Dr. Michael Patlas, Professor and Chair, Department of Medical Imaging, TFOM View email address on jobs.utoronto.ca .

For more information about JDMI & UHN, please visit:

For more information about the Department of Medical Imaging at the University of Toronto, please visit:

CAUTION: This ad is "posted only". Please see the information directly above for the application instructions; applications submitted via the "Apply Now" button on this page will NOT be considered for this position.