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.

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AI-Enhanced EMC Digital Twin for Automotive WBG Converters

This PhD studentship develops an AI-driven Digital Twin framework for Electromagnetic Compatibility (EMC) in Wide-Bandgap (SiC/GaN) power converters used in automotive applications. The project will develop predictive surrogate models using Physics-Informed Neural Networks (PINNs) and Gaussian Process Regression (GPR) to predict high-frequency conducted and radiated emissions, bridging virtual simulations with real-world physical compliance testing.

Gen AI and Student Feedback Literacy Coventry led Studentship

This project examines how university students’ feedback literacy is transforming amid widespread GenAI adoption, which is a critical challenge for educators and policymakers globally. Focusing on learner agency, the successful candidate will explore whether feedback opportunities effectively engage students, despite persistent disengagement. Project outcomes will inform curricular design, institutional support strategies, and pedagogical practices, to bridge gaps between theory and real-world engagement. Candidates from a range of disciplinary backgrounds are welcome to apply. Experience of social science research approaches is needed.

Gen AI and Student Feedback Literacy Deakin Led Studentship

This project examines how university students’ feedback literacy is transforming amid widespread GenAI adoption, which is a critical challenge for educators and policymakers globally. Focusing on learner agency, the successful candidate will explore whether feedback opportunities effectively engage students, despite persistent disengagement. Project outcomes will inform curricular design, institutional support strategies, and pedagogical practices, to bridge gaps between theory and real-world engagement. Candidates from a range of disciplinary backgrounds are welcome to apply. Experience of social science research approaches is needed.