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The National University of Singapore invites applications for a Senior Research Fellow (Modelling) to lead the development and application of advanced mathematical and statistical models for AMR research within the SoM, Kent Ridge Campus. The appointment is a one-year contract with potential extension based on performance and funding.
The successful candidate will supervise juniors, contribute to publications and grant applications, and collaborate with clinicians and researchers to advance
Job Title: Senior Research Fellow (Modelling)
University-Level Unit: Yong Loo Lin School of Medicine
Faculty/Department-Level Unit: Medicine
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 07/08/2026
The National University of Singapore invites applications for the position of Senior Research Fellow for the project titled “The PROGramme for One Health Antimicrobial RESistance Research in Singapore (PROGRESS)” within the School of Medicine (SoM). PROGRESS is a multidisciplinary research programme focused on addressing antimicrobial resistance (AMR), a complex and growing global health threat with significant health, societal, and economic implications for Singapore and beyond. The successful candidate will contribute to high-impact research aimed at advancing the understanding of AMR and informing strategies to combat this critical public health challenge. The appointment will be made on a one-year contract in the first instance, with the possibility of extension based on performance and project funding.
The Senior Research Fellow will lead the development and application of advanced mathematical and statistical modelling methods to support clinical and infectious disease research. The role involves conducting high-quality research, contributing to scientific publications and grant applications, supervising juniors and students, and collaborating with multidisciplinary teams to advance the programme's research objectives.
The responsibilities of the Senior Research Fellow will include leading the development and application of advanced statistical and mathematical models to support clinical and infectious disease research. The successful candidate is expected to work independently while collaborating with multidisciplinary teams to deliver high-quality research outputs and secure competitive research funding.