Research Associate on AI for Verification and Control
Department of Computer Science, Parks Road, Oxford
Grade 7: £32,817 – £34, 804.p.a
Fixed Term for up to one year
The appointment would be at max grade 7/3 (£32,236 – £34,804 p.a.) where you would be expected to hold a doctoral degree in Computer Science or be close to completion).
The Department of Computer Science at the University of Oxford is currently looking for an outstanding candidate to fill one RA position available from early 2021 on a 1-year full-time contract, on a project led by Professor Alessandro Abate.
The scientific underpinnings of the project lie in the areas of Formal Verification and Control Theory, with additional core components from the area of AI and Machine Learning. The overall goal is to contribute to the development of general approaches to integrate learning components within architectures for the formal verification and control of complex engineering systems: we aim on the one hand to certify the correct behaviour of safety-critical components and systems adaptively to collected data, and on the other to provide formal guarantees (from verification and control theory) to learning components that are embedded in safety-critical systems. The project will have an additional emphasis on applications in the Space domain, through an established collaboration with ESA and Airbus. http://www.oxcav.org
The OXCAV research group investigates the areas of Formal Verification and Control Theory, and has a keen interest on integrating techniques and tools from Machine Learning (for instance, Reinforcement Learning). OXCAV investigates applications in Safety-Critical Systems, such as the energy infrastructure, automotive, space, and beyond. The group is focussed both on theoretical developments, and on generation of usable software, towards technology transfer pursued alongside key industrial partners. Further information about Professor Abate’s research profile can be found here: http://www.cs.ox.ac.uk/people/alessandro.abate
We welcome applications from students with a DPhil/PhD (or close to completion status) in Mathematics, Computer Science, Engineering, or related technical degrees. Strong maths foundations are required, plus willingness to develop code and to engage in collaborative projects. Candidates must also have good writing, communication and presentation skills.
The closing date for applications is 12 noon on 8th March 2021, with interviews expected to be held w/c 15th March 2021
For further information about the project or for informal discussions about suitability, please contact Professor Abate (Alessandro.Abate@cs.ox.ac.uk).
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Research Associate on AI JD