Our website uses cookies so that we can provide a better service. Continue to use the site as normal if you're happy with this, or find out how to manage cookies.

Cranfield University Vacancy- Research Fellow in Driver-Automation Collaboration

17 Apr 2018

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.

They 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. You will be responsible for developing control algorithms to maintain vehicle stability, control and comfort during hand-overs from automated driving to human control. Working with their collaborators, you will use information about the driver’s psychological state and the level of attention recently devoted to non-driving tasks to adjust the control support provided to the greatest benefit and will demonstrate your control algorithms in a controlled on-road tests. You will also be expected to support colleagues in the implementation of in-vehicle driver monitoring systems to detect attention state and participate in vehicle trials 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.

At Cranfield they 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.

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

For further information please click here

> Back to news listing