Application Deadline: T-CAIREM seeks Faculty Affiliates
Description of Role
We have several openings available for University of Toronto faculty members.
Members are encouraged to specify the theme they're most interested in working with:
• Research: This team oversees the granting process and fosters multidisciplinary collaborative research in AI in health. To date, T-CAIREM has awarded over $1-million in grants to deserving researchers.
• Education: The team develops and delivers educational and training activities to T-CAIREM members and industry, including AI in medicine courses and the summer student research program.
• Infrastructure: This team administers T-CAIREM's Health Data Nexus, a unique online platform for health data to help power applied AI health research.
• Community: This team establishes international and national partnerships and spearheads new programs to expand our inclusive and diverse community of engaged members.
Responsibilities
We seek affiliates who will assist with the planning and execution of T-CAIREM initiatives in a selected theme area:
• Serve as an adjudicator and moderator/host for T-CAIREM activities such as annual Trainee Rounds
• Provide ideas and feedback on T-CAIREM events and activities
• Guide T-CAIREM's education and training initiatives
• Build capacity in AI in medicine for undergraduate, graduate, and post-graduate trainees
• Create professional and up-skilling opportunities.
Eligibility Criteria
• Applicants must be a current University of Toronto faculty member or appointed to a UofT-affiliated institute or hospital while holding this role
• Applicants must be a T-CAIREM member. You can apply here: https://tcairem.utoronto.ca/join-us
• Applicants can be at any faculty level (assistant, associate, or full) and do not need to be in medicine. However, preference will be given to faculty in medicine, medical sciences, or an Artificial Intelligence-related field.
• Applicants must be available for a two-year term
• Successful applicants must be available to attend regularly scheduled meetings.
To Apply
• Briefly outline (max. 200 words) your answers to these two questions:
Question 1: Why are you passionate about T-CAIREM?
Question 2: What creative ideas do you have to advance T-CAIREM's mission to transform health through AI?
• A current CV in PDF or .docx format (There is no page limit, but please upload as one file)
• Apply using this online form: https://lmp.forms-db.com/view.php?id=448310
• NOTE: These are unpaid positions.
Application Deadline: January 19, 2024
You will hear back from us by the spring of 2024. Thank you for your interest. We look forward to reviewing your application!