Assistant Professor in Mathematical Finance
3 weeks ago
About the Opportunity
The Department of Statistical Sciences at the University of Toronto invites applications for a full-time tenure stream position in the area of Mathematical Finance. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2025.
Research Focus
We seek candidates whose research and teaching interests complement and strengthen our existing departmental strengths. We are particularly interested in candidates working in all areas of mathematical finance, including stochastic control, stochastic games, mean field games, machine learning, optimal transport, market microstructure, signature methods, risk measures, environment and energy finance, decentralized finance and systemic risk.
Teaching Responsibilities
The successful candidate will be expected to teach actuarial science, mathematical finance and/or statistics at the undergraduate level, and mathematical finance, financial engineering and/or statistics at the graduate level. They will also be responsible for supervising students in the Department's doctoral program in Actuarial Science and Mathematical Finance and be active in teaching and supervision in our Masters of Financial Insurance.
Application Instructions
Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample (of no more than 25 pages); and a teaching dossier to include a teaching statement, sample course materials, and teaching evaluations. Equity and diversity are essential to academic excellence as articulated in the University of Toronto's Statement on Equity, Diversity and Excellence. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion and the promotion of a respectful and collegial learning and working environment.
Application Deadline
All applicant materials, including signed reference letters, must be received by November 18, 2024.
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