Research Fellow in Autonomous Driving under Uncertainty

The Visual Artificial Intelligence Laboratory (VAIL) at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Research Fellow in Autonomous Driving under Uncertainty, to be appointed as soon as possible, full-time, for a period of 12 months or until the end of the project (February 2026).
The Research Fellow will join the Lab's efforts in the context of the Horizon 2020 FET-Open project "Epistemic AI" coordinated by Oxford Brookes, with KU Leuven and TU Delft as the other partners.
The project's overarching objective is to develop a new paradigm for a next-generation artificial intelligence providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties. The project re-imagines AI from the foundations, with the aim of providing a proper treatment of the 'epistemic' uncertainty stemming from a machine's forcibly partial knowledge of the world by means of advanced uncertainty theory.
https://www.epistemic-ai.eu/
The Fellow will assist Prof Cuzzolin with the coordination of the H2020 Epistemic AI project and maintain a smooth communication among the project partners. In particular, they will lead the research work of Work Package 3 (Science-to-technology breakthrough in autonomous driving), by developing new frameworks for object detection and scene understanding under uncertainty, as well as inverse reinforcement learning. They will join another research fellow and co-supervise the two PhD students hired under the project, while helping with the general management of the Visual AI Lab.

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