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.

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Developing a Dimensional Metrology Cyber-Physical system to support new product introduction

The Centre for Manufacturing and Material has a fully funded Studentship, the aim of this PhD project to develop a cyber-physical architect between tolerance simulation and their associated metrology measurements within the manufacturing process.


Predicting cognitive performance in ADHD with advanced deep learning and network analysis in functional neuroimaging (Deakin led)

This project aims to explore whether EEG can provide a quantitative and effective approach for the diagnosis and severity monitoring of ADHD. 


Development of Artificial Intelligence Solution for Prediction of Preterm Birth

This is an interdisciplinary project aiming to develop an innovative Artificial Intelligence (AI) solution to help achieve the quick acceptance of EHG as a reliable clinical monitoring tool and for accurate prediction of preterm labour.


People Centred Productivity as a Pathway to Achieving Timely Circular Economy Interventions

The project looks to utilise an ethical combination of people and data to provide a transitional pathway to rapidly demonstrate and deliver future markets within the circular economy.


Trailblazers: The Early Career Researcher and PhD Candidate Partnering Scheme

The scheme provides PhD candidates with an innovative and dynamic intellectual space in which to undertake transformative research, whilst fully supported by a team of experienced supervisors.


Movement behaviours, cardiometabolic health and quality of life in adults from Black ethnicity

This fully funded project will aim to improve the understanding of movement behavioural pat-terns (i.e., sedentary time, light to vigorous activity and sleep), cardiometabolic health and quality of life of UK Black adults.


Using lipid nano-particles to study G-protein-coupled receptors (GPCRs)

This exciting PhD project in the laboratory of Professor Mark Wheatley, Professor of Biochemical Pharmacology is a joint PhD between Coventry University and Stellenbosch University with the student being registered for a PhD at both Universities


Predicting diagnosis and symptom severity in ADHD with deep learning and network analysis using EEG (Coventry led)

This project aims to explore whether EEG can provide a quantitative and effective approach for the diagnosis and severity monitoring of ADHD. 


Federated Learning Techniques for Cross-Domain Wi-Fi Sensing in Healthcare

This PhD project will address federated learning techniques for cross-domain Wi-Fi Sensing in Healthcare and is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia, starting at Coventry.