PhD Opportunities

Fully-funded PhD projects available for immediate application

Our studentships are fully-funded by UK Research Councils, charities or industry. Eligibility criteria vary so please check who is funding the project in which you are interested. For projects funded by EPSRC, only UK and EU students who meet the UK residency requirements are eligible to apply (minimum of three years of continuous residency in the UK immediately prior to the start of the PhD).

EPSRC studentships cover: (i) an annual tax-free stipend at the standard Research Council rate (£14,553 for 2017-2018, but typically increases annually in line with inflation) and (ii) tuition fees at the UK/EU rate.

To be considered for postgraduate study you need to submit a formal application. Further guidance and instructions on how to do this are available. 

A full list of academic staff research interests is available.

If you have any questions, or require any further information about postgraduate study, please do not hesitate to contact us.

Supervisor(s)Project title and detailsResearch areaFunded by Apply

Professor John McDermid; Professor Richard PaigeDr Richard Hawkins

2 PhDs in Model-Based Development for Critical Systems

Closing dates:
2 June 2017 (Round 1)
28 July 2017 (Round 2)

PhD studentship: Model-Based Software Development (PDF  , 69kb)

PhD studentships: Model-Based Safety and Reliability Engineering (PDF  , 69kb)

Software Engineering

Critical Systems

Restricted entry: UK Nationals only  Apply

Professor Stefano Pirandola (York)

Dr DW Greig (Leonardo MW Ltd)

EPSRC Industrial CASE Doctoral Studentship

Closing date: 30 June 2017*

EPSRC CASE Doctoral Studentship_Quantum (PDF  , 91kb)

*may close earlier than the advertised deadline if a suitable candidate is found 


RCUK eligibility criteria applies


PhD projects available for applicants who can fund their own studies

Supervisor(s)Project title (details linked)Research areas
Ibrahim Habli 

Cynthia Iglesias (HYMS/Health Sciences)

Cade McCall (Psychology)

Patient Safety Assurance for Digital Health

Enterprise systems: managing and developing large scale, complex IT systems;
Health informatics and medical devices;
Safety analysis, system safety;
Simulating complex systems;
Software engineering

Dimitris Kolovos Incremental Model Management Software engineering
Richard Wilson Machine Learning for Understanding RNA 

Bayesian techniques for analysis and search;
Data analytics;
Machine learning

Radu Calinescu

Adrian Bors

Autonomous Multi-Camera Monitoring Systems 

Autonomous and self-adaptive systems;
Computer Vision and Image Processing; 
Automated and Model-Driven Software Engineering;
Safety of autonomous and self-adaptive systems;
Software engineering

Fiona Polack

Kieran Alden (Electronic Engineering)

Richard Paige

Software engineering support for demonstrably fit for purpose research simulator development  Automated and Model-Driven Software Engineering;
Enterprise systems: managing and developing large scale, complex IT systems;
Simulating complex systems;
Software engineering

Richard Wilson

3D Shape Search

Artificial intelligence;
Bayesian techniques for analysis and search;
Computer Graphics;
Computer Vision and Image Processing; Data analytics;
Machine learning