The successful candidate should have a PhD degree (or close to completion) in Systems and Control, Applied Mathematics, or related field, theoretical background and interest in System Theory, Automatic Control, Game Theory, and good command of English.
General project description: The candidate will conduct theoretical and algorithmic research on distributed equilibrium seeking of (non)cooperative games, involving multi-agent reinforcement learning combined with network models. Multi-agent systems are finding applications in a wide variety of domains including distributed control, resource management, communication networks, and recently, in artificial intelligence. In their multi-player form, games offer a suitable framework for modeling complex multi-agent systems and reasoning about them. One of the major appeals of using game theory for multi-agent systems is that it provides a hierarchical decomposition between the design of the interaction and the design of the algorithms. The research will develop and build upon tools from game theory, dynamical systems and operator theory, and will explore how to combine the interaction models of game theory with network models. This has the potential to yield a much richer, more accurate model of complex networks, where issues such as incomplete information, local information could be addressed. The research will focus on both theoretical aspects of game theory, involving algorithms for their exact resolutions and heuristics, to their applications in verification and in synthesis of multi-agent systems, as well as in artificial intelligence.
Conditions of employment: The position is a one-year research appointment, renewable for one or two years, based upon annual performance. The researcher will receive a competitive salary in accordance with postdoctoral salaries at the University of Toronto.
Applications shall include the following documents:
- curriculum vitae;
- statement of motivation and research interests (up to two pages);
- transcripts of all exams taken and obtained degrees (in English);
- names and contact information of up to three references (e.g. project/thesis supervisors);
- up to 3 research-oriented documents (e.g. thesis, conference/journal publication).
Applications or inquires to be emailed to Prof. Lacra Pavel (pavel@control.utoronto.ca).
The call for applications will remain open until the ideal candidate is found. The starting date is flexible.
