Funded Studentships

You can use our search listing to find the right project for your skills, passion and expertise. The listing includes:

  • An extensive portfolio of PhD projects, with expert supervisory teams based in one of our leading research centres.
  • A number of PhD programmes with international partner universities around the world.

Please note: projects are updated regularly.

You may also be interested in our PhD by Publication.

6 items found

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Accessible human-machine interfaces in transport: designed for people with disabilities

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship.


Accessible cars: designed for people with disabilities

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship.


Modular Crash Structures for Autonomous Lightweight Passenger Rail Vehicles

The Centre for Future Transport and Cities are seeking applicants for a fully funded Studentship to investigate modular crash structures for autonomous lightweight passenger rail vehicles.


Using Extended Reality (XR) to improve team performance and enhance training for maintenance of future vehicles

The Centre for Future Transport and Cities is inviting applications from suitably qualified computer science, game design, and electronic engineering graduates who have an interest in human-computer interaction and human factors for an exciting Dstl funded PhD studentship.


AI/ML-driven Resource Management Framework for 6G MEC-assisted Industrial IoT Networks

The Centre for Future Transport and Cities is seeking applicants for a fully funded Studentship. The successful candidate will enrol at Coventry University as their home institution and will spend up to 2 years at the Institute of High Performance Computing (IHPC) of A*STAR.


Modelling of Timber and Hybrid Structures for Automotive Crash Analysis and Optimisation

The Centre for Future Transport and Cities are seeking applicants for a fully funded Studentship to explore the modelling of timber and hybrid structures for automotive crash analysis and optimisation.