Question 1

What qualifications are required for the Research Assistant (IDS) role?

Accepted Answer

A Bachelor's or Master's in Computer Science with focus on AI, Machine Learning and Big Data is required. Strong Python programming , experience with PyTorch or TensorFlow , Git, testing, and CI/CD are essential. Candidates must demonstrate ability to read research papers and develop prototypes quickly. Prior experience with spatio-temporal foundation models and urban data analytics is preferred. See our research assistant jobs guide for similar roles.

Question 2

What are the main responsibilities of the Research Assistant at IDS NUS?

Accepted Answer

Key duties include designing robust code for state-of-the-art ML and AI research , performing data engineering on real-world datasets, assisting with manuscripts and presentations, and participating in demos. The role supports end-to-end analytical workflows using AI foundation models for the LU-STM project. Explore research jobs for comparable positions.

Question 3

How do I apply for the Research Assistant (IDS) position at NUS?

Accepted Answer

Submit your CV and cover letter highlighting relevant GitHub repositories showcasing projects in AI, ML, or urban analytics. Only shortlisted candidates will be contacted. Include links to your best work related to spatio-temporal models . Check our higher ed jobs section for application tips.

Question 4

Is prior experience with spatio-temporal models required for this NUS role?

Accepted Answer

It is preferred but not mandatory . The role strongly values candidates with knowledge of AI foundation models , urban data, and spatio-temporal analytics. Solid general ML research background and rapid prototyping skills are core requirements. View research jobs for related opportunities.

Question 5

What is the work environment like for Research Assistants at IDS NUS?

Accepted Answer

You will work at the Institute of Data Science on the Kent Ridge Campus, collaborating on the LU-STM project led by Prof Ng See Kiong . The position offers hands-on experience in AI research and deployment within a leading Singapore university. Review faculty and research roles for context on NUS careers.

Research Assistant (IDS)

National University of Singapore (NUS)

Kent Ridge Campus

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