Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Search PhD projects
Topic
Topic
Archaeology
Art, design, media and fashion
Biological sciences
Business studies
Chemistry
Economics
Education
Electronics and computer science
Engineering
English
Film studies
Geography and environmental science
Gerontology
Health sciences
History
Law
Mathematical sciences
Medicine
Modern languages and linguistics
Music
Ocean and earth science
Philosophy
Photonics and optoelectronics
Physics and astronomy
Politics and international relations
Psychology
Social statistics and demography
Sociology, social policy and criminology
Funding status
Funding status
Fully funded (UK only)
Fully funded (UK and international)
Competition funded
254 research degree projects
-
Electronics and computer science
Theoretical study of quantum techniques for reducing communication complexity in distributed systems
This project explores how quantum techniques can reduce communication complexity in distributed systems. It involves studying classical and random communication complexity theories, and applying quantum methods like entanglement and superposition. -
Engineering
Quantum-enhanced mid-IR spectroscopy for high-precision sensing
This project aims to revolutionise diagnostics with a quantum-enhanced mid-IR sensing platform for quick, easy and non-invasive detection of pollutants and disease markers. By integrating advanced materials, it will enable ultra-sensitive, real-time environmental and health monitoring, offering a powerful tool for early disease detection and improved pollutant tracking. -
Engineering | Electronics and computer science
Cloud based adaptive battery management system for electric vehicles
As battery pack is an environmentally and financially expensive subsystem in an Electric Vehicle (EV), a robust Battery Management System (BMS) is crucial for EV durability. This project aims to pursue research on cloud based adaptive BMS for improving the battery pack lifetime, thereby assisting market adoption of EVs. -
Engineering
Physics inspired quantum machine learning methods for inverse problems
In this project, you will develop and evaluate novel quantum machine learning approaches to solve large scale inverse problems using near term quantum computing systems. -
Engineering
Blockage effects on tidal turbines
Tidal Turbines (underwater wind turbines) are able to operate close together and this can increase power capture. To get it to work well we need to understand many different aspects of device design and operating environment. Building on existing work you will experimentally and numerically investigate ways to boost performance. -
Physics and astronomy
Numerical simulations of thermonuclear burning spread on the neutron star surface
This project aims to study the extreme physical conditions on neutron star surfaces. -
Photonics and optoelectronics | Physics and astronomy
Low-loss photonics for quantum networks
Unlike optical telecoms, where amplifiers compensate losses, in the world of Quantum Technology, every photon is precious. This project will create new ultra-low-loss optical components, reducing losses and allowing us to create large, entangled quantum states. -
Photonics and optoelectronics | Engineering
Up-conversion photonics for quantum technologies
Nonlinear parametric photonics is used to control quantum systems and as a source for photonic qubits. We have led the development of quasi-phase-matched non-linear systems. This project combines novel fabrication approaches with established commercial materials to expand the operation range into the ultra-violet and mid-infrared wavelength regions for quantum photonics. -
Photonics and optoelectronics | Electronics and computer science | Engineering
Ultra-precision manufacture of atom and ion traps for quantum technology
In this project, you will design, fabricate, and test atom and ion trap systems while working with experimentalists to demonstrate quantum sensing and computing. -
Engineering
Characterization and prediction of tip vortex interaction noise
This project focuses on experimentally characterizing and predicting noise from tip vortex-blade interactions in eVTOL aircraft, addressing a key challenge in reducing noise for urban air mobility. Using advanced techniques like Particle Image Velocimetry (PIV) and hotwire measurements, this study will inform noise reduction strategies in next-generation urban air mobility systems.