About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health is recruiting two Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region, social network dynamics and use for large language models for public good. Successful candidates will be embedded in a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies.
We welcome candidates with complementary skill profiles. One position is oriented towards computational/statistical modelling; the other towards data engineering, visualisation, and software development. Both positions involve hands-on research work and will suit candidates looking to build a strong research track record before or alongside a PhD. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners.
Key Responsibilities
- Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on profile).
- Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
- Develop data visualisation tools and contribute to interactive surveillance dashboards.
- Support the preparation of manuscripts, reports, conference presentations, and workshops.
- Collaborate with internal team members and external partners across institutions and countries.
- Contribute to code documentation and reproducible research workflows.
Additional Opportunities
Exceptional candidates may have the opportunity to pursue a PhD at NUS. The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.
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