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National University of Singapore – Postdoctoral Research Fellow

Company NameNational University of Singapore

Position TitlePostdoctoral Research Fellow

Company Information

The National University of Singapore (NUS) is Singapore's flagship university and a leading global university with a strong commitment to education, research, and innovation. NUS offers a highly international and multidisciplinary research environment across a broad range of fields, with extensive opportunities for collaboration within the University and with research institutions in Singapore and worldwide.

Duties and Responsibilities

The ideal candidates for these positions will possess skills and interests in both theoretical and computational research, a willingness to diversify their expertise and to be involved in cross-disciplinary projects, as well as the disposition to work well independently and as part of a team.

Position Qualifications

We seek applicants with strong expertise in scientific analysis for gravitational-wave astronomy and/or statistical machine learning for science. Those with a more general background in applied mathematics, statistics, data science or computational science will also be considered. Relevant areas of expertise can include (but are not limited to) topics such as surrogate modelling, representation learning, self-supervised learning, Bayesian optimisation, Gaussian processes, Monte Carlo methods, reinforcement learning, simulation-based inference, and model misspecification.

Benefits

The initial appointment is for one year, with expected renewal up to two or three years in total and could start as early as March 2027. Each position comes with a competitive salary and personal benefits, as well as travel support for international conferences/visits. There will also be opportunities for successful candidates to gain additional experience in supervising research students during their appointment.

Position or Company Websitenus.edu.sg

Application Instructions

Applicants should submit the following materials via e-mail to ai4gw.nus@gmail.com: a cover letter, their CV and list of publications, a short statement of research, and the e-mail addresses of three academic referees who will provide letters of reference. All materials should be received by 15 November 2026 for full consideration.

Application Deadline11/15/2026

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