Research Fellow (104788-0324)

For informal queries, please email Professor Theo Damoulas at t.damoulas@warwick.ac.uk.

Fixed-term position for 15 months with possibility to extend duration of the post subject to funding outcomes. The start date to be negotiated with the successful candidate; preferred start date is June 2024. We are seeking to recruit a postdoctoral research fellow to work in the area of probabilistic machine learning, decision making and causal ML.

The post is a joint appointment between the Departments of Computer Science and Statistics at the University of Warwick. You will join a team of researchers affiliated with the ATI and led by Professor Theo Damoulas, including research assistants and PhD students in Computer Science and Statistics. 

You will be expected to perform high quality research under the supervision of Prof. Theo Damoulas, as part of the Turing AI Acceleration Fellowship Machine Learning Foundations for Digital Twins, awarded to Theo. The area of research interest is the intersection of simulators, robustness and causality. The expectation is that you will produce breakthrough research results in the areas of robust Bayesian statistics, causal ML, simulation and contribute to publishing these results in top rated venues.

You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a very strong background in one or more of the following areas: Bayesian inference, probabilistic machine learning, causal inference and simulation.

For further information regarding the skills required for this role please see the personal specification section of the attached job description.

CLOSING DATE: Tuesday 23 April 2024 at 23.55

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the Apply button.