Responsibilities
The candidate will be responsible for conducting research on LLM alignment in solving optimization problems.Successful candidate will be part of an active research team led by Ass. Prof CAO Zhiguang from School of Computingand Information Systems (SCIS), Singapore Management University (SMU).
Candidate's Core Responsibilities Are
- Developing harness technique in LLM for solving optimization problems.
- Implementing LLM baseline methods and traditional optimization methods.
- Collecting real-world dataset and testing the above algorithms for benchmarking.
- Writing paper for publication.
- Other duties as assigned.
Qualifications
- Minimum master degree in Computer Science, Information Technology, Information Systems or closely relateddisciplines from a reputable institution of higher learning; with particular focus on Artificial Intelligence.
- Minimum 1 year of relevant research experience in LLM based optimization.
- Proficiency in Codex, Claude Code, and relevant LLM APIs.
- Demonstrated experience and know-how on LLM harnessing.
- Excellent working knowledge of LLM based optimization.
- Ability to break down complex problems and design effective solutions.
- Innovating new approaches and thinking outside the box.
- Applicants with research publications in AI area will be advantageous.
- Ability to work cooperatively as part of a small, agile academic research team is essential.
- Self-motivated individual who can work independently and collaboratively with team members.
