PhD Position in Learning Algorithms for Undeceivable Policies

Télécom SudParis invites applications for a 3-year PhD position focusing on Personalized Demand-Side Mitigation Strategies (PDSMS) for sustainable behavior. The researcher will investigate how deceptive agents manipulate regulatory signals and design robust, undecepable policies using artificial intelligence and game theory. Responsibilities include mathematical modeling, formulating novel reinforcement learning approaches grounded in random utility theory, and validating findings through lab experiments. The successful candidate will work closely with faculty at Télécom SudParis in Evry, France, contributing to cutting-edge research in AI-driven sustainability solutions.

• Formulate novel reinforcement learning frameworks rooted in random utility theory to model regulator learning processes.
• Apply mechanism design principles to create policies robust against deceptive agent manipulation.
• Investigate the conditions under which deceptive agents undermine the benefits of personalized demand-side mitigation strategies.
• Design and execute lab experiments to validate theoretical findings and modeling results.
• Contribute to scientific publications and present research findings at academic venues.