Research Opportunities in Artificial Intelligence

The Centre for Technology, Robotics, and Artificial Intelligence is seeking a highly motivated Research Assistant to contribute to cutting-edge research initiatives involving foundational Large Language Models (LLMs).

As a key member of the team, you will play a crucial role in conducting research and collaborating on funded projects. Your responsibilities will include identifying, evaluating, and developing relevant technologies and resources, collecting and normalising datasets, training LLMs, analysing and interpreting results, and recommending methods for improvement.

You will work closely with legal and computing researchers on interdisciplinary projects, driving innovation and advancing our understanding of AI's potential impact. The successful candidate will have the opportunity to address complex legal issues through the application of machine learning research and collaborate with leading experts in Singapore and internationally.

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• An opportunity to work on high-impact research projects and contribute to groundbreaking research in AI and its applications.\
• A competitive remuneration package commensurate with qualifications and experience.\
• Eligibility to apply for 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 state-of-the-art facilities and resources.\
• Flexible or remote work arrangements may be considered, provided baseline on-site work requirements are met to ensure effective collaboration and team cohesion.\
• Professional development opportunities to enhance your skills and knowledge in AI and related fields.\
• Collaborative and dynamic work environment with a team of experienced researchers and professionals.\
• Opportunities to present research findings and publications in top-tier conferences and journals.\
• Support for attending international conferences and workshops to share knowledge and best practices.

Requirements:

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• Bachelor's or Master's degree 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.

To apply, please submit your application directly to the NUS Career Portal. Please ensure that your application includes a covering letter explaining your interest in the position and a curriculum vitae containing complete and detailed information on your academic institutions, honours, awards, publications, and academic, research, and professional experience.

Only shortlisted applicants will be contacted concerning the status of their application.

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• Machine Learning\
• Artificial Intelligence\
• Computer Science\
• Computational Linguistics\
• Writing\
• Publications\
• Robotics\
• Data Analytics\
• Laboratory\
• Research