Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
Novel dispersive photonic devices are opening up incredible possibilities for efficient lasers and light manipulation. We’re looking for a passionate PhD student to join a Marie Skłodowska-Curie Action doctoral training network and push the boundaries of what’s possible with nanofabrication technology.
Novel crystalline photonic devices are opening up incredible possibilities for efficient lasers and light manipulation. We’re looking for a passionate PhD student to join a Marie Skłodowska-Curie Action doctoral training network and push the boundaries of what’s possible with pulsed laser deposition.
This project investigates thermonuclear (Type I) X-ray bursts on neutron stars through numerical simulations of flame spreading and ignition. You'll model burst dynamics, compare results with observations, and explore broader applications of the code to stellar flame propagation and exoplanetary atmospheres, developing strong computational and programming expertise.
Consider a major global environmental issue. Perhaps you thought about ocean plastic pollution, air pollution, or sea level rise leading to coastal erosion. In this project, you will contribute to this goal through experimental, theoretical, numerical, or combined approaches, depending on your skills and interests.
This PhD project will lead the next-generation search for black holes in the Galaxy. Weave together state-of-the-art observational and theoretical evidence on understanding how these cosmic monsters are born and evolve.
This PhD project develops ultra-low power, DVS-free computer vision hardware by creating event-based chips using nanofabrication. The work spans chip building, signal encoding, and real-world system demonstration, aiming to replace costly DVS cameras and enable fast, efficient AI image processing with conventional cameras. Techniques include lithography, circuit simulation, and FPGA implementation.
This project seeks to develop sustainable procurement in transportation infrastructure. Research is crucial in this area to craft models which integrate often conflicting policy goals, such as environmental, social, fiscal, and economic, into procurement policy and frameworks. Part of this project will focus on identifying best practice from other jurisdictions.
Machine learning as well as deep learning techniques are employed in this project to design novel biometric recognition systems. Biometrics included in this type of study are: Face, Face profile, Ear, Iris, Gait, Palmprint, Fingerprint and body shape.
Imagine measuring temperature along 200 km of optical fibre with unprecedented precision, even in extreme environments. This project pioneers Rayleigh-based distributed temperature sensing in hollow-core fibres, enabling breakthroughs in monitoring subsea cables, wind farms, and nuclear systems, while combining simulation, experimentation, and cutting-edge optical technologies.