Postdoctoral Research Fellow

Statistics Interest Group; Singapore; Hybride; SGD 60 000 - 90 000; Plein temps

Résumé du poste

National University of Singapore is seeking a Postdoctoral Research Fellow to advance theoretical and computational research in gravitational-wave astronomy and statistical ML. The successful candidate will work in a cross-disciplinary setting, contribute to innovative methods, and collaborate with a team.

The role may start as early as March 2027. The initial appointment is for one year with potential renewal up to two or three years, including travel support for conferences and opportunities

Qualifications

• Strong expertise in scientific analysis for gravitational-wave astronomy and/or statistical ML for science.
• Background in applied mathematics, statistics, data science or computational science.
• Familiar with surrogate modelling, representation learning, self-supervised learning, Bayesian optimisation, Gaussian processes, Monte Carlo methods, reinforcement learning, simulation-based inference and model misspecification.

Responsabilités

• The initial appointment is for one year, with expected renewal up to two or three years in total.
• Engage in theoretical and computational research in gravitational-wave astronomy and statistical science.
• Contribute to cross-disciplinary projects and supervise research students when possible.

Connaissances

GW analysis

Statistical ML

Applied math

Data science

Surrogate modelling

Representation learning

Self-supervised learning

Bayesian optimisation

Gaussian processes

Monte Carlo methods

Reinforcement learning

Simulation-based inference

Model misspecification

Formation

PhD in a relevant field

Description du poste

National University of Singapore – Postdoctoral Research Fellow

Position Title Postdoctoral Research Fellow

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.

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.

Applicants should submit the following materials via e-mail to [e-mail]: 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.