Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems

The Research Fellow will be expected to conduct research into modeling and solving team games, imperfect recall games, and multiplayer games. In particular, you 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. You will be expected to contribute to this project in all phases, from literature review to publication writing.

In addition, you 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)

Only shortlisted applicants will be notified.

Qualifications

•    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 : 29821