Tenure Track, Artificial Intelligence in Dentistry
The College of Dentistry invites applications from qualified individuals for a full-time tenure-track faculty position at the academic rank of Assistant Professor in Artificial Intelligence (AI) in Dentistry. The successful candidate must demonstrate recognized expertise in AI applications in dentistry, along with strong teaching and research capabilities to lead and advance this emerging area within the College. Responsibilities include delivering didactic, pre-clinical, and clinical teaching, including AI- and digitally enabled dental technologies; supervising student research projects; initiating, leading, and participating in innovative research programs in AI-driven oral health and dental education; competing successfully for internal and external funding; and undertaking relevant administrative activities.
Applicants must possess a PhD or MSc degree with a strong emerging record of research in Artificial Intelligence or closely related areas, along with evidence of collaborative academic achievements. A DDS or DMD (or equivalent) degree and postdoctoral training are considered assets.
Salary information for this position for the 2025-2026 academic year is as follows: Assistant Professor: $110,489 to $131,909. Independent of rank, a starting salary above the standard salary bands is usually common and possible in the College of Dentistry.
This position includes a comprehensive benefits package which includes a dental, health and extended vision care plan; pension plan, life insurance (compulsory and voluntary), academic long-term disability, sick leave, travel insurance, death benefits, an employee assistance program, a professional expense allowance, and a flexible health and wellness spending program.
This tenure-track position is supported by start-up funds designed to enable early success in research and scholarship. Start-up support may include resources for establishing research infrastructure, initiating pilot studies, and advancing scholarly activities aligned with the College’s strategic research priorities. The level and structure of start-up funding will be commensurate with the candidate’s experience, research program, and anticipated funding trajectory.