Research Associate/Assistant (Infectious Disease Modelling & AI for Public Health)

CERM at NUS Saw Swee Hock School of Public Health is hiring two Research Associates/Assistants to support projects spanning AI-driven epidemic forecasting, Bayesian transmission modelling, social network dynamics, and LLMs for public health. One role is oriented toward computational/statistical modelling, the other toward data engineering, visualisation, and software development. Ideal for candidates building a research track record pre-PhD, exceptional candidates may have the opportunity to pursue a PhD at NUS. Requires a Bachelor's (RA) or Master's + 2 years experience (Research Associate), with proficiency in Python and/or R.