Research Assistant, LLM (School of Computing)

Research Assistant, LLM (School of Computing) National University of Singapore – Queenstown The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore 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. Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad. #J-18808-Ljbffr