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PhD research studentships


Current IMPETUS/TSC PhD studentships

Portrait of Gregor Engelmann
Gregor Engelmann 
Understanding and Communicating Urban Transport through Dynamic data Dialogues
Start: October 2014
End: September 2018
Supervisors: Dr James Goulding (UoN); Dr David Golightly (UoN); Dr Robin North (TSC); Michele Nati (Digital Catapult)

Opportunities: Faculty of Engineering: IMPETUS - PhD studentship with the Transport System Catapult

  • Now Closed 

Applications are invited from suitably qualified graduates for a fully funded PhD studentship that will be jointly supervised between the Faculty of Engineering at the University of Nottingham and the Transport Systems Catapult. This multidisciplinary PhD forms part of the activity of the IMPETUS Partnership, which is one of 8 University partnerships with the Transport Systems Catapult. The student must have a high-grade qualification; at least the equivalent of a UK 1st or 2.1 class degree. The student must be proficient in both written and spoken English, and possess excellent presentation and communication skills. The PhD studentship will cover full university tuition fees and a tax-free stipend at the EPSRC rate of £14,296 per annum for the duration of the project for UK/EU students (due to funding restrictions). The successful candidate will be based at the University of Nottingham, but will be expected to travel to the Transport Systems Catapult at Milton Keynes for regular joint supervision meetings. This studentship is an excellent opportunity to work with both academia and industry in the development of tools, methods and future technologies to support Intelligent Mobility – the movement of people and goods around the world in smarter, greener and more efficient ways.

The studentship is expected to start in January 2017.

Candidates are invited to apply for the following PhD topic area. Candidates should clearly demonstrate the relevance of their academic background to the selected topic, and are expected to have qualifications in Engineering, Psychology, Human Factors, Geospatial, Computer Science or related disciplines.

Driver and occupant requirements (vision and cabin layout) for autonomous vehicles; Professor Stuart Marsh, Dr Glyn Lawson 

Autonomous vehicles provide the opportunity for users to attend to something other than the road environment and to engage in tasks other than driving.  However, considerable research is required to identify what the driver and occupants will want or need to look at, and what activities they would like to do while in the vehicle. Moreover, work is needed to optimise the architecture of the vehicle cabin, design of vision systems and sources of data streams to support these requirements. This PhD will research and understand occupants’ requirements for vision and cabin layout in autonomous vehicles. It is likely to investigate topics related to: cabin layout in autonomous vehicles; vehicle usage at each stage within the context of an entire journey; design implications based on models of use (e.g. shared vs. individual ownership); the role of virtual reality systems in developing autonomous vehicle designs; and the contribution of geospatial and other data in such vehicle’s vision systems.

For informal enquiries, please contact: Dr Glyn Lawson ( or Professor Stuart Marsh (

To make an application, please send a covering letter stating clearly how you fulfil the requirements of the studentship, your research interests and include a CV, academic transcripts and the names and addresses of two academic referees, to:Dr Nancy Hughes (



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