Research Associate

Research Associate (Faculty of Law - TRAIL)

Join to apply for the Research Associate (Faculty of Law - TRAIL) role at National University of Singapore.

Overview

The Centre for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) was launched on 5 December 2019. Its focus is to inform the debate on the legal, ethical, policy, philosophical and regulatory questions associated with the use and development of information technology (IT), artificial intelligence (AI), data analytics and robotics, in the context of the Fourth Industrial Revolution, through contributions by way of original thinking, research, writing and publications; and to collaborate with like-minded research centres around the world to further inter-disciplinary research in, and the development of, possible guidelines, standards, and solutions to the legal, ethical, policy, philosophical and regulatory issues associated with the development and application of IT, AI, data analytics and robotics in key industries.

Categories

• Job Title: Research Associate
• Organization: National University of Singapore
• Faculty: Law – TRAIL

Responsibilities

• Conduct research for and collaborate on funded projects involving foundational LLMs, including identifying, evaluating, and developing relevant technologies and resources.
• Collect, normalize, and create datasets, as well as train LLMs.
• Analyse and interpret LLM results, evaluate model performance and recommend methods for improvement.
• Collaborate with legal and computing researchers on interdisciplinary projects.

Benefits

• One-year contract position, with the possibility of renewal based on performance and funding availability.
• Competitive remuneration package, commensurate with qualifications and experience.
• Eligibility to apply for TRAIL research and conference funding to support attendance at academic conferences and pursue independent research under the supervision of the Principal Investigator.
• Dedicated workstation and access to TRAIL facilities and resources.

Requirements

• Bachelors or Masters in Computer Science, Machine Learning, Artificial Intelligence or Computational Linguistics, with a strong knowledge of statistics, machine learning and optimisation.
• Good to excellent command of English (oral and written); additional language proficiency is an advantage.
• Familiarity with modern LLM architectures (transformer encoder, decoder and encoder-decoder models).
• Experience handling large datasets, with strong structured and unstructured database management skills.
• Knowledge of LLM evaluation methods, metrics, inference processes and deployment setups.
• Proficiency in Python, with additional skills in Regex, C++ and JavaScript a bonus.
• Proficiency with Python-based neural network frameworks, especially PyTorch, and training LLMs on parallelised Nvidia architectures.
• Strong interpersonal and communication skills, with the ability to work collaboratively in a team.
• Self-motivated, organised, detail-oriented and able to work independently to meet deadlines.

Research Associate – Eligibility

An appointment as a Research Associate may be offered to an applicant who has a Master's degree and/or a further minimum of two years' post-graduation experience.

Application Procedure

Interested applicants are invited to apply and submit their applications directly at the NUS Career Portal. Applications must comprise:

• Covering Letter: explain the reason(s) for interest in the position.
• Curriculum Vitae: include complete information on academic institutions, honours, awards, publications, and all academic, research, and professional experience (with dates).
• Submission of Application Materials via the NUS Career Portal.
• Closing Date: Monday, 20 October 2025. Late applications cannot be considered.
• Shortlisting and Interview: only shortlisted applicants will be contacted.

Details

• Location: Bukit Timah Campus
• Department: Dean fs Office (Law)
• Organization: Law
• Job Requisition ID:

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