Assistant Professor (Research Focussed) in AI Safety (109047-0424)

The verification and validation (V&V) team at WMG are undertaking a programme of research and engineering across the verification and validation spectrum. The physical world of mobility and infrastructure are merging with the digital world of simulation, AI, software, and data. With the emergence of evermore complex systems comes evermore complex challenges. Chief among these challenges, that of assuring safety. Find out more in this video: https://bit.ly/3WzqPLY.

The V&V team is recruiting for an Assistant Professor (Research) position in the area of AI Safety. We are looking for a talented AI researcher to join our team developing safe and reliable AI systems for CAV. In this role. You will develop and apply advanced techniques in machine learning (ML) testing, formal verification, uncertainty quantification, ML safety monitors and explainable AI (XAI) to ensure CAV meet the highest safety standards.

You will conceptualise, architect, implement and successfully lead applied research and engineering activities in the area of AI Safety. You will enhance the impact of the research and engineering activities via publications, networking, PR-communications, standardisation/regulatory work, and broad stakeholder engagement. You will be a team player, willing to constrictively receive and provide critical assessments of work. You will act as leader internally and externally in your area of domain expertise.

The challenges that the V&V team are addressing are complex and multi-disciplinary. You’ll have a passion for technology and engineering and be able to demonstrate a growth mind set. You will be employed to work on variety of Autonomy in transport projects including an EU Horizon funded programme, in collaboration with industry and academic partners.

The V&V group at WMG is globally recognised, with the research and engineering team siting on global standards committees as the UK representative (i.e. ISO TC 204/WG14 and ISO TC22/ SC33/ WG9), being lead author of a proposed international standard on self-driving shuttles/ pods, and contributing to many more standards (i.e. ASAM OpenLABEL, BSI 1889 & BSI 1883). Along with having developed the world’s largest public database of test scenarios for CAV’s, Safetypool™, and leading on one pillar of the UK Governments pioneering CAM Test Bed programme, Midlands Future Mobility.

For informal enquiries, please contact:
Siddartha Khastgir: s.khastgir.1@warwick.ac.uk
Xingyu Zhao: Xingyu.Zhao@warwick.ac.uk

We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so. 

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.

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