Research Fellow: Optimization, ML & Game Theory

Singapore University of Technology and Design; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Singapore University of Technology and Design is seeking a Research Fellow to advance theory and methods at the intersection of optimization, machine learning, and game theory. You will develop algorithms for decision-making, collaborate with an interdisciplinary team, and contribute to high-impact publications.

The role involves supervising graduate students, engaging with academic and industry partners, and shaping research proposals and project directions.

Qualifications

• PhD in Optimization, Operations Research, Applied Mathematics, Computer Science, Electrical Engineering, Industrial Engineering, or a closely related discipline.
• Strong expertise in mathematical optimization, machine learning, or game theory, with demonstrated experience in optimization algorithms, statistical learning, reinforcement learning, multi‑agent systems, or decision‑making under uncertainty.
• Excellent research track record, including publications in high-quality international journals and conferences.
• Strong analytical, programming, and communication skills, with the ability to work both independently and collaboratively in an interdisciplinary environment.

Responsibilities

• Conduct high-quality research in optimization, machine learning, and game theory, leading to publications in top-tier journals and conferences.
• Develop novel optimization algorithms and learning methods for large-scale, stochastic, distributed, or multi-agent systems.
• Supervise and mentor graduate students and provide research guidance within the project team.
• Contribute to research proposals, project management, and collaborations with academic and industry partners.
• Disseminate research outcomes through publications, conference presentations, and engagement with the broader research community.

Skills

Mathematical optimization

Machine learning

Game theory

Optimization algorithms

Statistical learning

Reinforcement learning

Multi-agent systems

Decision-making under uncertainty

Analytical skills

Programming

Education

PhD in Optimization or related field

Job description

Singapore University of Technology and Design is seeking a Research Fellow to advance theory and methods at the intersection of optimization, machine learning, and game theory. You will develop algorithms for decision-making, collaborate with an interdisciplinary team, and contribute to high-impact publications.

The role involves supervising graduate students, engaging with academic and industry partners, and shaping research proposals and project directions.