New opportunity

Research Assistant in AI and Machine Learning, School of Computing

National University of Singapore · Singapore

About this role

The Research Assistant will work with the Principal Investigator and lab members on one or more research projects in the Department of Computer Science, School of Computing, at the National University of Singapore. The role is based at Kent Ridge Campus.

Responsibilities

  • Collaborate with the Principal Investigator and lab members on research projects involving artificial intelligence and machine learning.

Requirements

  • A Bachelor’s degree with Honours and/or a Master’s degree in a relevant area.
  • Experience in fundamental AI research, with publications at top AI conferences such as ICML, NeurIPS, or ICLR.
  • Experience or interest in artificial intelligence and machine learning research.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Artificial IntelligenceMachine LearningAI research

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Contribute to PI-led research

    The role works closely with the Principal Investigator and lab members on one or more projects. Prepare to explain how you would coordinate research tasks, communicate progress, and incorporate collaborators’ feedback.

  • Demonstrate fundamental AI research

    The posting requires experience in fundamental AI research. Prepare a concise account of a research contribution, including the question, your role, the method, and what the results do and do not establish.

  • Discuss top-conference publications

    The requirements cite publications at top AI conferences such as ICML, NeurIPS, and ICLR. Be ready to explain your specific contribution to relevant published work and the evidence supporting its claims.

Likely challenges to think through

  • Balancing initiative with collaboration

    Because the assistant works closely with a PI and lab members, an inferred challenge is advancing research independently while staying aligned with collaborators. Prepare an example of how you made decisions, sought feedback, and adjusted course.

  • Maintaining depth across projects

    The role may involve one or more projects, but the posting does not specify their scope. A possible challenge is balancing time across tasks without weakening the rigor needed for fundamental research. Prepare to describe how you would set priorities and identify when a result needs further validation.

03

Practice your answers

Technical practice

How would you frame a fundamental AI or machine learning research question?

What to coverThe posting calls for experience in fundamental AI research. Suggested preparation (inferred): Explain how you would define a precise question, identify the gap in existing work, and distinguish a generalizable insight from an application-specific improvement.

How would you evaluate a proposed machine learning result?

What to coverThe role concerns AI and machine learning research, but the posting does not specify a project or method. Suggested preparation (inferred): Discuss appropriate baselines and evaluation measures, including how you would make comparisons fair and interpret the limits of the evidence.

How would you test which part of a proposed approach drives an observed improvement?

What to coverThe posting emphasizes fundamental research rather than a particular technique. Suggested preparation (inferred): Describe controlled comparisons or ablations, and explain how you would avoid attributing an improvement to the wrong design choice.

How would you investigate an unexpected or inconsistent experimental result?

What to coverThe advertised work involves research projects with a Principal Investigator and lab members. Suggested preparation (inferred): Walk through checks for implementation errors, data or evaluation issues, and variation across runs before drawing a research conclusion.

What would make a research result reproducible and its conclusions credible?

What to coverThe requirements mention publications at top AI conferences, including ICML, NeurIPS, and ICLR. Suggested preparation (inferred): Address clear method descriptions, experimental settings, repeatability, and candid reporting of limitations; do not assume a particular conference's rules apply.

How would you defend the contribution of a fundamental AI research paper?

What to coverThe posting specifically asks for experience in fundamental AI research with top-conference publications. Suggested preparation (inferred): Use a paper you know well to explain its claim, supporting evidence, relationship to prior work, and remaining uncertainty without overstating its impact.

Behavioural practice

Tell me about working closely with a research lead on a project.

What to coverThe role involves working closely with the Principal Investigator. Suggested preparation (inferred): Give a real example covering the situation, how you clarified priorities or communicated progress, and the resulting effect on the work.

Describe a research disagreement with a collaborator.

What to coverThe posting says the Research Assistant will work with lab members. Suggested preparation (inferred): Use a real situation to explain how you listened, tested or reconciled differing views, and what resulted.

Tell me about a research approach that did not produce the expected result.

What to coverThe position involves AI and machine learning research projects. Suggested preparation (inferred): Describe the situation, the steps you took to investigate or revise the approach, and the outcome or lesson, without presenting an unsuccessful result as a success.

02

Sharpen your knowledge

Topics to prepare

  • Fundamental AI and machine learning research

    Revise how a research question, prior work, method and evidence fit together. Exercise: choose one AI or ML research paper and explain its central question and contribution in five sentences. Relevance: the posting seeks experience or interest in AI and ML research, and requires experience in fundamental AI research.

  • Evaluating a research contribution

    Revise how a paper supports its claims and acknowledges limitations. Exercise: examine a paper from ICML, NeurIPS or ICLR and identify its main claim, strongest evidence and one limitation. Relevance: the posting explicitly cites publications at these conferences; this is a preparation exercise, not a stated assessment method.

Skills to revise

  • Presenting research clearly

    Exercise: prepare a two-minute explanation of a research contribution, covering the question, approach, findings and limitations. Relevance: the role involves working closely with a Principal Investigator and lab members; practising this format is a suggestion, not a specified duty.

  • Planning a collaborative research discussion

    Exercise: draft a brief agenda for discussing an AI or ML research question with a lab team, including what is known, what remains uncertain and what to investigate next. Relevance: the posting states that the assistant will work with the Principal Investigator and lab members on one or more projects; this agenda is a suggested preparation exercise.

04

Your preparation checklist

  • Map the stated requirements to evidence

    Prepare a one-page summary of your relevant Honours bachelor’s and/or master’s degree, AI or machine-learning research experience, and publications. The posting specifically asks for fundamental AI research publications at top conferences such as ICML, NeurIPS, or ICLR.

  • Prepare a research-paper walkthrough

    For a relevant publication, if you have one, prepare a brief explanation of the research question, your contribution, method, evidence, limitations, and next steps. This is interview preparation, not a stated presentation requirement.

  • Rehearse a fundamental AI research discussion

    Choose an AI or machine-learning question you know well and outline a possible approach, comparison methods, and how you would test the result. The posting does not name a particular project or technique.

  • Prepare an example of research collaboration

    Outline a project showing how you worked with a supervisor or research peers, including your own decisions and how you handled feedback. The advertised role involves working closely with a Principal Investigator and lab members.

  • Draft questions about the lab’s projects

    Ask which research projects the assistant would join, how work is divided with the Principal Investigator and lab members, and what outputs are expected. These details are not specified in the posting.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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