Research Associate in Deep Generative Modelling

Research Associate in Deep Generative Modelling for Infectious Diseases

Imperial College London is seeking a Research Associate (Postdoc) in Deep Generative Modelling for Infectious Diseases. This postdoctoral position offers substantial research freedom in deep generative modelling, Bayesian inference, probabilistic programming, simulation-based inference, and spatial statistics, applied to infectious disease analysis.

Location: United Kingdom
Deadline:
Hiring Organization: Imperial College London

The successful candidate will work with line manager Dr. Elizaveta Semenova alongside Robert Verity, OJ Watson and their groups, with additional collaborators at UNC Chapel Hill and the University of Oxford. A strong background in probabilistic machine learning or computational statistics is essential; prior epidemiology experience is not required but genuine interest in infectious disease problems is important.

• Substantial research freedom in deep generative modelling and related areas
• Interdisciplinary work spanning ML, statistics, genomics, and epidemiology
• Collaboration with renowned researchers and institutions

the application page.