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Research Fellow (Scaling Cooperative Intelligence), School of Computing

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Fellow (Scaling Cooperative Intelligence), School of Computing

Research Fellow

2026-06-20

Location

Kent Ridge Campus

National University of Singapore

Type

Staff / Administration

Required Qualifications

PhD in Computer Science or related field
Multi-agent systems or agent-based modeling
Strong programming skills
Mathematics and statistics foundation

Research Areas

Human-like cooperative agents
Normative multi-agent systems
Cooperative infrastructure for humans and AI
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Research Fellow (Scaling Cooperative Intelligence), School of Computing

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, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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.

We are seeking a post-doctoral researcher to join a research group focused on scaling cooperative intelligence. The Research Fellow will be responsible for working closely with the Principal Investigator in one or more of the following research areas: (i) human-like cooperative agents; (ii) normative multi-agent systems; (iii) cooperative infrastructure for humans and AI.

Enquiries can be sent to xuan.cs@nus.edu.sg.

Only shortlisted candidates will be notified.

Job Requirements

  • A PhD degree in Computer Science or a related field (e.g. Computational Cognitive Science or Computational Social Science).
  • Interdisciplinary background in multi-agent systems, agent-based modeling, evolutionary game theory, cultural evolution, or related areas.
  • Strong programming skills, and a solid foundation in mathematics and statistics.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department: Department of Computer Science

Employee Referral Eligible: No

Job requisition ID: 32566

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Frequently Asked Questions

🎓What are the key qualifications for this Research Fellow position at NUS?

Candidates need a PhD in Computer Science or related fields like Computational Cognitive Science. An interdisciplinary background in multi-agent systems, agent-based modeling, evolutionary game theory, or cultural evolution is essential, plus strong programming skills and solid mathematics and statistics knowledge. Explore more on postdoc opportunities or research jobs.

🔬What research areas will the Research Fellow work on?

The role focuses on scaling cooperative intelligence, including (i) human-like cooperative agents, (ii) normative multi-agent systems, and (iii) cooperative infrastructure for humans and AI. Work closely with the Principal Investigator in the School of Computing. Check research assistant jobs for similar roles.

📧How do I apply for this NUS School of Computing Research Fellow job?

Send enquiries to xuan.cs@nus.edu.sg. Only shortlisted candidates will be notified. Prepare your CV highlighting PhD and relevant experience in multi-agent systems. Use our free resume template and cover letter template for academic applications.

📍What is the location and employment type for this postdoc role?

Located at Kent Ridge Campus, National University of Singapore. This is a Staff / Administration position as a postdoctoral Research Fellow. No employee referral eligibility. View more higher ed jobs in Singapore.

💼Is there visa sponsorship or salary information available?

Salary details are not specified. Visa sponsorship is not mentioned. Focus on your fit with cooperative intelligence research. For postdoc advice, see our guide on postdoctoral success.

What is the deadline for this Scaling Cooperative Intelligence Research Fellow position?

Applications close on 2026-06-20. Job requisition ID: 32566. Ensure your application highlights expertise in evolutionary game theory or related areas. Browse university jobs for updates.

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