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Research Assistant (Faculty of Law -TRAIL)

Research Assistant (Faculty of Law -TRAIL)

National University of SingaporeWorkFromHome, Otago, New Zealand
25 days ago
Job description

Overview

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 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 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 IT, AI, data analytics and robotics in key industries.

Benefits

  • An opportunity to address cutting-edge legal issues through the application of machine learning research and to collaborate with leading experts in Singapore and internationally.
  • 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.

Duties

  • Reporting to the Principal Investigator, you will play a key role in research initiatives involving foundational LLMs. Your responsibilities include conducting research for and collaborating on funded research projects involving foundational LLMs, including identifying, evaluating, and developing relevant technologies and resources.
  • Collecting, normalising, and creating datasets, as well as training LLMs.
  • Analysing and interpreting LLM results, evaluating model performance and recommending methods for improvement.
  • Collaborating with legal and computing researchers on interdisciplinary projects.
  • You are expected to be in residence for the duration of your appointment, in line with standard NUS annual leave provisions. Flexible or remote work arrangements may be considered, provided baseline on-site work requirements are met to ensure effective collaboration and team cohesion.

    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), with additional language proficiency being 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 Assistant

    An appointment as a Research Assistant may be offered to an applicant who has a Bachelor\'s degree.

    Application Procedure

  • Interested applicants are invited to apply and submit their applications directly at our NUS Career Portal. These must comprise :
  • Covering Letter : Explain the reason(s) for your interest in the position.
  • Curriculum Vitae : Include complete information on academic institutions, honours, awards, publications, and all academic, research and professional experience.
  • Submission of Application Materials : Apply directly from NUS Career Portal.
  • Closing Date : The closing date for the receipt of applications and references is Monday, 20 October 2025. Late applications cannot be considered.
  • Shortlisting and Interview : Only shortlisted applicants will be contacted.
  • More Information

    Location : Bukit Timah Campus

    Organization : Law

    Department : Dean\'s Office (Law)

    Employee Referral Eligible : No

    Job requisition ID : 30028

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    Assistant Faculty Of • WorkFromHome, Otago, New Zealand

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