Le 25/12/2023 par Marcel Mongeau :

Postdoctoral Fellowship in Dynamic Resource Allocation Problems @ University of Toronto Position Summary: We invite applications for a full-time Postdoctoral Fellowship position to advance research in the field of dynamic resource allocation problems and Markov decision processes. The candidate will develop quantitative models, analyze their structural properties, and design algorithmic solution approaches, to problems related to approximate dynamic programming and reinforcement learning with a particular focus on applications in healthcare. They will collaborate with Associate Professor Andre Cire in the Department of Management, University of Toronto Scarborough (cross-appointed with the Operations Management and Statistics group at the Rotman School of Management), Associate Professor Adam Diamant in the Operations Management and Information Systems group at the Schulich School of Business, and Assistant Professor Vahid Sarhangian in in the Department of Mechanical & Industrial Engineering and the Director of the Centre for Healthcare Engineering (CHE) at the University of Toronto. The successful applicant is expected to lead state-of-the-art research in sequential decision-making leveraging Markov decision processes, mathematical programming, and reinforcement learning techniques. They will also receive regular mentorship and training and will be expected to disseminate their research findings by submitting academic manuscripts to top management science journals such as those on the Financial Times journal list. Qualifications: 1. Ph.D. (earned or to be granted) in Management Science, Operations Management/Research, Industrial Engineering, Computer Science, Applied Mathematics, or related fields. 2. Strong expertise in at least one of the following fields: dynamic programming, Markov decision processes, reinforcement learning, probability theory, mathematical programming, Bayesian optimization, and discrete optimization. 3. Strong communication skills (both written and spoken) and self-motivation. 4. Advanced programming skills with knowledge in one of Python/R/Java/C and optimization libraries such as CPLEX and GUROBI. Employment Details: This position is for one year with the possibility of an extension for an additional year based on mutual interest. The starting date is July 1, 2024 and is flexible. Application Instructions: Please send an email with the subject ?Post-Doctoral Fellow: Dynamic Resource Allocation Problems? to sarhangian@mie.utoronto.ca copying andre.cire@rotman.utoronto.ca and adiamant@schulich.yorku.ca. In your email, please include an up-to-date CV, a cover letter indicating why you would be appropriate for the position, the contact information of two or more references, and at least two samples of your research papers. Applications will be accepted until March 1, 2024, or until the position is filled. Employment as a Postdoctoral Fellow at the University of Toronto is covered by the terms of the CUPE 3902 Unit 5 Collective Agreement. The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.