Postdoc Opportunities: AI for Gravitational-Wave Astronomy at the National University of Singapore

Interested in bringing statistical machine learning to bear on gravitational-wave astronomy? NUS is recruiting multiple postdoctoral fellows for an NRF-funded research programme spanning Physics and Statistics and Data Science.

If your background sits anywhere between astrophysics and statistical ML — surrogate modelling, simulation-based inference, Gaussian processes, or reinforcement learning — this cross-disciplinary programme, backed by Singapore's National Research Foundation, is worth your attention.

About the Position

• Role: Postdoctoral Research Fellow (multiple positions)

• Host: Department of Physics and Department of Statistics and Data Science, National University of Singapore (NUS)

• Programme: NRF-funded research programme on artificial intelligence for gravitational-wave astronomy, based at NRF's Campus for Research Excellence and Technological Enterprise

• Supervisors: Alvin Chua, Li Cheng, Alexandre Thiery, and David Nott

• Duration: Initial appointment of 1 year, with expected renewal up to 2–3 years total

• Start date: As early as March 2027

About the Programme

This is a genuinely cross-disciplinary effort, bringing together gravitational-wave astronomy and statistical machine learning under one research programme, led by a team of PIs spanning physics and statistics. The programme is looking for expertise in areas including (but not limited to):

• Surrogate modelling

• Representation learning

• Self-supervised learning

• Bayesian optimisation

• Gaussian processes

• Monte Carlo methods

• Reinforcement learning

• Simulation-based inference

• Model misspecification

What They're Looking For

• Strong expertise in scientific analysis for gravitational-wave astronomy and/or statistical machine learning for science

• Candidates with a more general background in applied mathematics, statistics, data science, or computational science will also be considered

• Skills and interests spanning both theoretical and computational research

• A willingness to diversify expertise and engage in cross-disciplinary projects

• The ability to work well both independently and as part of a team

What's on Offer

A competitive salary and personal benefits, travel support for international conferences and visits, and the opportunity to gain experience supervising research students during the appointment.

How to Apply

Send the following materials by email to ai4gw.nus@gmail.com:

• A cover letter

• CV and list of publications

• A short statement of research

• Email addresses of three academic referees who will provide letters of reference

Deadline: All materials should be received by October 31, 2026 for full consideration.

Meet the Supervisors

Alvin Chua · Li Cheng · Alexandre Thiery · David Nott
Department of Physics & Department of Statistics and Data Science, National University of Singapore

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