1. Modest additional funding for conference travel and research training activities will also be made available to Fellows during their tenure in the program. Note: Funding for research activities (i.e., consumables, field work travel costs etc.) are not provided through the UofT Schmidt AI in Science training program and are the responsibility of the host supervisors and co-supervisors.
2. There is a possibility for a 3rd year global research exchange, industry internship, and/or teaching-focused postdoctoral experience, pending the availability of funding from the host supervisor(s), Mitacs, and/or an alternate source of funding.
The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural sciences or engineering and aim to pursue a research project that includes the application of artificial intelligence (AI) to their domain. The program funds cutting edge applications of AI in the natural sciences and engineering and creates a community of interdisciplinary leaders. Applicants must demonstrate clear expertise and promise within their field of study. Experience with AI is not a requirement, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain. These Fellowships will fund research and provide training in AI and related computational skills to support new directions in the application of AI.
Postdoctoral Applicant Components (please submit sections a. through g. as one PDF file)
a. Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Application Form (instructions for below narrative sections within form)
b. Research Proposal (3 pages maximum)
c. Bibliography (1 page maximum)
d. AI in Science Training Plan (1 page maximum)
e. Candidate Statement (2 pages maximum)
f. Significance of Leadership Contributions (1 page maximum)
g. Applicant's CV
h. Two confidential letters of reference outlining the applicant's research excellence, the merit of the proposed research, and the suitability of the proposed research and training environment. Referees must disclose their relationship to the candidate in the letter. (2 pages maximum per letter)
Important notes of the letter of reference:
i. Applicants are also required to complete and submit the Applicant Demographic Survey as part of their application. All survey answers will remain confidential and will not be used as part of the evaluation of your application or any other future application.
Supervisor Application Components
a. Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship Supervisor’s Assessment Form (submitted by the primary supervisor)
b. The primary supervisor is also required to collect the letters of reference on behalf of the applicant and submit them along with their completed supervisor form (see section h. in the Postdoctoral Applicant Components sections - above - for further details).
The Selection Committee, which will meet each competition year to evaluate and recommend top candidates, will reflect the broad diversity of individuals and disciplines within the NSE disciplines and will include experts from across the University of Toronto. The Chair of the Selection Committee will play the role of Equity Officer. Members of the Selection Committee are expected to reinforce standards of rigor, fairness, respect and equity, diversity and inclusion throughout the adjudication process. The VPRI Best Practices in Peer Review Guide shall serve as a resource for members of the Selection Committee.
The selection criteria for the Eric and Wendy Schmidt AI in Science Fellowship are:
The multidisciplinary selection committee members assess this through their evaluation of each applicant’s:
At the University of Toronto, we strive to be an equitable and inclusive community, rich with diversity, protecting the human rights of all persons, and based upon understanding and mutual respect for the dignity and worth of every person. We seek to ensure to the greatest extent possible that all students and employees enjoy the opportunity to participate as they see fit in the full range of activities that the University offers, and to achieve their full potential as members of the University community.