Research Fellow in Automated Driving

Cranfield, Bedford
£32,094 to £35,773 per annum
16 Apr 2018
End of advertisement period
16 May 2018
Contract Type
Fixed Term
Full Time

Cranfield University is one of the top five research-intensive universities in the UK and has an unrivalled reputation for transforming cutting edge technology, management and science into practical, life-enhancing solutions. In the last UK Research Excellence Framework [REF] over 80% of the research carried out by Cranfield University was assessed to be either world or internationally leading, indicating the quality and impact of the work carried out at Cranfield University.

Cranfield has over 50 years’ experience working with transportation clients across sectors including automotive, aviation, motorsport, marine and military. Our education and research activity touches on all modes of vehicle and transport across technology, engineering and management. The Advanced Vehicle Engineering Centre has excelled in providing research, development, education/training for automotive sector for over fifty years.

We are looking for a Research Fellow to conduct automated driving research within the funded EPSRC-JLR TASCC project: Driver-Cognition-Oriented Optimal Control Authority Shifting for Adaptive Automated Driving (CogShift), for more information please check:

The research activities, closely collaborated with UCL and Jaguar Land Rover, mainly include automated driving, vehicle modifications, vehicle controller design, and road testing. The successful candidate will be responsible for the development and implementation of the prototype vehicle conversion, in particular the remote driving system and the hardware/software platform for the prototype ‘CogShift’ system. Supported by staff experienced in vehicle conversions, the successful candidate will develop the mechanical design and integrate it with an appropriate software prototyping environment based on MATLAB, Simulink and automatic code deployment tools. You will also support colleagues in the implementation of in-vehicle driver monitoring systems to detect attention state. The successful candidate will also lead and conduct in vehicle trials of on Cranfield’s new Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) in order to calibrate, test and refine the new systems.

You will have a PhD degree (or near completion) in automotive, mechanical, or control engineering, or in a closely related field.

For an informal discussion regarding this position, please contact Dr James Brighton, Head of Centre on (T); +44 (0)1234 752910 or (E); or Dr. Daniel Auger, Senior Lecturer in Control and Vehicle Systems on (T); +44 (0)1234 758062 or (E);

At Cranfield we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential.

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