Research Scientist (contract till 2 November 2026), RISE

• Operation
• Contract
• Employment Type
• Manager
• Experience Level
• Doctorate or equivalent
• Education Level
• Singapore | Closing On 15 Mar 2026
• Country
• Hybrid
• Working Arrangement

About Us

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.

Job Description

The candidate will be responsible for conducting research on application of causality analysis of AI systems. Successful candidate will be part of an active research team led by Prof Sun Jun from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Survey existing causality analysis techniques on large language models and their applications.
• Identify applications of LLM causality analysis in the domain of healthcare and finance.
• Conduct an empirical study on the effectiveness of existing approaches for identifying LLM misbehavior in these domains.
• Propose and evaluate new causality analysis techniques for LLMs in these domains.
• Other duties as assigned.

Qualifications

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on AI safety.
• Minimum 4 years of relevant research experience in AI safety.
• Proficiency in programming software/languages such as Python is required.
• Proven track record and professional experience in AI techniques.
• Demonstrated experience and know-how on AI safety issues.
• Excellent working knowledge of LLMs.
• Technical skills in LLM finetuning.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with research publications in AI safety 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.

Other Information

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Posted On 13 Feb 2026