The Visual Artificial Intelligence Laboratory @ Oxford Brookes (VAIL) at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a fellow 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 ResearchFellow will join the Lab’s efforts in the context of the Horizon2020 FET-Open project “Epistemic AI” coordinated by Oxford Brookes, with KU Leuven and Delft University of Technology as the other partners.

https://lnkd.in/grbkStWQ
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.
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.
The Visual Artificial Intelligence Laboratory is a fast-growing research unit of 24 members, active in deeplearning for action detection, uncertainty in artificialintelligence, machinelearning (e.g. continuallearning), computervision, autonomousdriving, surgical and mobile robotics, AI for healthcare. 
The Lab is currently pioneering frontier topics such as machine theoryofmind, evolving machine intelligence, intrinsically-aligned AI, epistemic foundationmodels, AI for science, neuraloperators under uncertainty. Within autonomous driving, we are recognised as the creators of the series of ROAD datasets for situationalawareness,
https://lnkd.in/enx8wDMJ

https://lnkd.in/e5hyeFyf

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the organisation of 5 recent workshops at top conferences (at ICCV, ECCV, UAI, IROS)hashtag and we are working to incubate a hashtagand we are working to incubate a spinoff company on robust hashtagperception and end-to-end planning for autonomous vehicles.

VAIL is part of the University’s new Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute, directed by Cuzzolin.

Please apply here (vacancy ID number of 174959):

https://my.corehr.com/pls/oburecruit/erq_jobspec_details_form.jobspec?p_id=174959

or contact Fabio at fabio.cuzzolin@brookes.ac.uk for more information.
The deadline for application is 19 January 2025.