National University of Singapore

Job Description:

Job Description

The Research Fellow is expected to be conducting research into modeling and solving team games, imperfect recall games, and multiplayer games. In particular, the Research Fellow will be focusing on one or more of the following:

(a) real-world problems that may be reasonably modeled as team games as well as appropriate solution concepts,

(b) computational methods for practically solving/approximating solutions for these games, and/or a theoretical analysis of their efficiency, and

(c) scaling up game solvers by means of AI and machine learning.

See [1-3] for a small sampling of related work. The Research Fellowwill be expected to contribute to this project in all phases, from literature review to publication writing.

In addition, the Research Fellow will be expected to (co)-supervise several undergraduates performing research on related topics in game solving, ideally to the point of a top conference submissions.

[1] Efficient Learning in Team Games A Coordination-Competition Dilemma, L. Carminati (2025)

[2] Team-Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization, B. Zhang, G. Farina, T. Sandholm (2023)

[3] Polynomial games and sum of squares optimization, PA. Parrilo (2006)

Job Requirements

• PhD. in Computer Science or equivalent, with good publication track record in top AI and/or operations research venues.
• Knowledge in mathematical optimization and game theory (both in terms of equilibrium concepts and from a computational standpoint) is necessary.
• A background in (i) extensive-form/dynamic games, particularly imperfect recall or team games, (ii) multiplayer general-sum games, and (iii) sum-of-squares optimization is highly desirable, while knowledge in (iv) online learning, (v) dynamical systems and (vi) multiagent-RL is would be beneficial.
• Applicants should have a strong mathematical background, be able to code and run experiments, communicate well in English, be willing to supervise junior researchers, and commit to at least 1 year.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 29264