Research Assistant, LLM (School of Computing)

National University of Singapore; Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

The National University of Singapore invites applications for the position of Research Assistant in the School of Computing. We are seeking highly motivated and skilled individuals to work on persona-based social simulations for aiding policy design.

This position focuses on building and evaluating novel LLM-based systems for computational social simulations that can support policy design. You will work closely with the Principal Investigator and other group members on the project.

Qualifications

• Bachelor's with Honors or Master's in CS/AI or related disciplines.
• Experience building AI/ML applications, LLM fine-tuning, and RAG systems.
• Ability to process large-scale datasets with Pandas, R, SQL for evaluating simulations.
• Interest in agent-based modelling or synthetic user research platforms.

Responsibilities

• Develop LLM-based agent architectures for multilingual populations.
• Build and evaluate persona-based simulations for policy design.
• Collaborate with researchers and faculty to advance the project.
• Contribute to high-quality publications and conference/journal presentations.

Skills

AI/ML applications

LLM fine-tuning

RAG systems

Python

Multilingual data processing

Education

Bachelor's with Honors or Master's degree in CS/AI or related.

Tools

Python

PyTorch

LLM APIs

RAG systems

Agent-based frameworks

Pandas

SQL

Job description

Research Assistant, LLM (School of Computing) By continuing to use and navigate this website, you are agreeing to the use of cookies.

Research Assistant, LLM (School of Computing)

University-Level Unit: School of Computing Faculty/Department-Level Unit: Department of Information Systems And Analytics Employee Category: Research Staff Location: Kent Ridge Campus

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the School of Computing (SoC). We are seeking highly motivated and skilled individuals to work on persona-based social simulations for aiding policy design.

Position Overview

This research project will focus on building and evaluating novel LLM-based systems for performing computational social simulations that can aid in policy design. The Research Assistant will work closely with the Principal Investigator and other group members on this project.

Key Responsibilities

• Develop LLM-based agent architecture representing diverse personas for multilingual and multicultural population
• Build and evaluate persona-based simulation systems for aiding policy design
• Work collaboratively with the team including research fellows and faculty
• Contribute to high quality publications and presentations in top conferences and journals

Qualifications

• Bachelors with Honors or Master’s degree in Computer Science, Artificial Intelligence, or related disciplines
• Prior experience building AI/ML applications, LLM fine-tuning, RAG systems, agentic frameworks e.g., with Python, PyTorch, LLM APIs
• Ability to process large-scale datasets, clean data, and apply statistical tools (e.g., Pandas, R, SQL) to evaluate simulation results e.g., using experiments, is desirable
• Experience / interest in agent-based modelling, LLM-based autonomous agents, or synthetic user research platforms is desirable
• Good communication skills in English to interact with researchers across the inter-disciplinary team

Only shortlisted candidates will be notified.

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