Research Fellow in AI-based automotive algorithms and estimators

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The role

Applications are invited for a Research Fellow position to support the design of a predictive health management (PHM) module for a novel steer-by-wire system aimed at enhancing the safety, stability, and durability of next-generation electrified/ autonomous vehicles.

The PHM system will be capable of reliable detection of incipient faults of the steer-by-wire system in real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle.

The post is focused on the development of automotive-grade algorithms and estimators that will form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and analysis of the real steering actuator, as well as close collaboration with industrial partners.

Collaborating under the guidance of Prof Patrick Gruber, Dr Davide Tavernini and Dr Umberto Montanaro, you will be responsible for the day-to-day research tasks in accordance with the project plan. This will include laboratory experimentation, vehicle testing and data analysis, and will entail coordination of work with that of others involved in the project. Write-up of results in formal documents and contributions to the preparation of journal/conference papers and other outputs (as required) are expected.

About you

The successful candidate will have a strong background in experimental testing, programming (MATLAB/SIMULINK) and control, and should have a PhD in a relevant discipline such as mechanical, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable:

• Control development and implementation, including neural networks
• Instrumentation, data-logging, CAN or similar protocols
• Real-time rapid control prototyping systems (e.g., dSPACE or similar)
• Vehicle dynamics and control

Our team

Join our dynamic and inclusive team within the School of Engineering. We actively seek applicants from all backgrounds, valuing the unique perspectives they bring to our research, which, in turn, leads to innovative solutions. We are dedicated to creating an environment where everyone is not only welcomed but also valued, respected, and supported.

Our team specializes in cutting-edge research areas, with a particular focus on vehicle dynamics and the control of autonomous systems. The contract for the Research Fellow position is set with a fixed end date of 31^st March 2026, with extensions subject to thorough performance assessments, availability of project funding, and specific project requirements.

How to apply

Please apply via the University website and submit a CV along with your application. For informal enquiries please contact Prof Patrick Gruber at p.gruber@surrey.ac.uk.

The University of Surrey reserves the right to close this vacancy early or extend the role based on Volume and Calibre of applications.

Further details

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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