At a Glance
- Tasks: Conduct innovative research in deep generative modelling for infectious diseases.
- Company: Join the prestigious Imperial College London and collaborate with top researchers.
- Benefits: Enjoy substantial research freedom and interdisciplinary collaboration opportunities.
- Other info: Work alongside renowned institutions like UNC Chapel Hill and the University of Oxford.
- Why this job: Make a real impact on global health through cutting-edge research.
- Qualifications: Strong background in probabilistic machine learning or computational statistics required.
The predicted salary is between 35000 - 45000 £ per year.
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: 2026-07-01
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
To apply, visit the application page.
Research Associate in Deep Generative Modelling employer: ML Scientist
Imperial College London is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and interdisciplinary research. As a Research Associate in Deep Generative Modelling for Infectious Diseases, you will enjoy substantial research freedom, access to world-class resources, and the opportunity to collaborate with leading experts in the field, all while contributing to meaningful advancements in public health.
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We think you need these skills to ace Research Associate in Deep Generative Modelling
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