Research Associate/Fellow in Statistics (Fixed-term)

This role focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data. The research aims to support nowcasting, forecasting, and evaluating control measures for healthcare-associated infections and antimicrobial resistance. The position offers opportunities to publish in high-impact journals and supervise students. Candidates should have a PhD or be near completion in statistics or a related field, with expert knowledge in statistical modelling and software like R/Python.