Research Assistant, AI Foundations & Trustworthy ML Lab

National University of Singapore; Singapore; On-site; SGD 35,712 - 46,872; Full time

Job summary

The National University of Singapore's CoSTA Lab in the Department of Electrical and Computer Engineering invites applications for a Research Assistant. The role focuses on AI agents and foundation models, working under the PI to advance post-training methods for LLMs.

You will conduct experiments, implement ML algorithms, analyze results, and contribute to publications and project milestones. This fixed-term position offers collaboration with a dynamic team and access to state-of-the-art

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical or Computer Engineering, Data Science, AI.
• Strong Python programming skills and experience with PyTorch.
• Research or project experience in ML, NLP, LLMs, or trustworthy AI.
• Able to work both independently and in a team; meeting deadlines.

Responsibilities

• Post-training research on LLMs.
• Implement ML algorithms, experimental frameworks, and prototypes.
• Conduct experiments, analyze results, and maintain reproducible code.
• Publish research findings in journals and conferences.
• Prepare project deliverables and milestones.

Skills

Python programming

PyTorch framework

Machine learning fundamentals

NLP / LLM knowledge

Independent work

Team collaboration

Strong writing & communication

Education

Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Data Science, Artificial Intelligence

Tools

PyTorch

Job description

The National University of Singapore's CoSTA Lab in the Department of Electrical and Computer Engineering invites applications for a Research Assistant. The role focuses on AI agents and foundation models, working under the PI to advance post-training methods for LLMs.

You will conduct experiments, implement ML algorithms, analyze results, and contribute to publications and project milestones. This fixed-term position offers collaboration with a dynamic team and access to state-of-the-art