Research Associate in Causal eXplainable Reinforcement Learning

Job Description

Be part of an international consortium of machine learning and computational neuroscience groups at the University of Sheffield (UK), University of Vienna (Austria) and INRIA Lille (France)!

We are looking for a Research Associate to develop causal inference methods for explainable actions in reinforcement learning, particularly via biologically-plausible neural circuits, as part of a Chist-Era project called “Causal eXplainable Reinforcement Learning (CausalXRL)”, funded in the UK by the UKRI / EPSRC.

You will be employed at the University of Sheffield, working with Dr Aditya Gilra and Professor Eleni Vasilaki, in close collaboration with project partners in Austria and France. In particular, you will work closely with your counterpart Research Associates/Fellows, to be hired as part of this project, at the University of Vienna with Professor Moritz Grosse-Wentrup (to be advertised at:, and INRIA Lille with Professor Philippe Preux (advertised at:

You should hold a PhD (or have equivalent experience) in areas related to reinforcement learning, causal inference and computational neuroscience. The ability to work effectively with both local and remote colleagues/partners is essential.

We are committed to exploring flexible working opportunities which benefit the individual and the University.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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