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Research Engineer (1-year contract), School of Computing and Information Systems

Singapore Management University · Singapore · Contract

1 year Posted 19 Jan 2026

Quick Summary

  • Developing LLM alignment algorithm for solving optimization problems.
  • Implementing LLM baseline methods and traditional optimization methods.
  • Collecting real-world dataset and testing algorithms for benchmarking.

Full Description

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

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 Computing and Information Systems (SCIS), Singapore Management University (SMU).

  • Developing LLM alignment algorithm 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’s degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on Artificial Intelligence.
  • Minimum 1 year of relevant research experience in prompting or fine-tuning LLM.
  • Proficiency in programming software/languages such as python is required.
  • Proven track record and professional experience in LLM related project.
  • Demonstrated experience and know-how on prompting or fine-tuning LLMs.
  • Excellent working knowledge of LLM alignment and optimization.
  • Technical skills in using LLM APIs.
  • 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.

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