Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This project will use advanced theory and computer simulations to uncover the fundamental processes that restrict laser performance, helping design the next generation of lasers for science, industry, and healthcare.
Offshore wind energy is vital for a net-zero future, but efficient operation and maintenance (O&M) remain major challenges. This project explores how artificial intelligence can transform O&M by enabling automated risk analysis, predictive maintenance, and resilient energy systems, bridging digital innovation with sustainable offshore energy development.
This project aims to explore the turbulent atmosphere of Jupiter using cutting-edge 3D climate simulations. It combines high-performance computing, advanced modelling, and international collaboration to uncover the mechanisms behind giant storms, multiple jets, and exotic weather.
This project on methane pyrolysis, a disruptive route to low-cost sustainable hydrogen and valuable carbon black, aims to tackle extreme high-temperature reactive flows and multiphysics challenges with cutting-edge computational fluid dynamics (CFD). It will apply fluid dynamics, heat and mass transfer and high-performance computing to design intensified reactors that could transform the UK and global hydrogen economy.
This project will develop high-throughput program scripts for 3D/4D microstructure analysis and feature tracking to accelerate alloy design based on our developed Track-Rex toolbox. Using advanced microstructure characterisation and deep learning, this project will create automated pipelines linking manufacturing, microstructure evolution, and materials performance, ultimately supporting impactful, interdisciplinary research.
This project tackles one of the biggest questions in astrophysics: the nature of dark energy. Using new datasets from the Rubin Observatory’s LSST and the TiDES survey, you will analyse tens of thousands of supernovae, develop expertise in data analysis and machine learning, and work at the forefront of international astrophysics.
This research investigates the electronic behaviour of metal nanoparticles in liquid environments. Using advanced terahertz spectroscopy, you will reveal how particle size, shape, and surroundings govern charge transport. The results will advance fundamental understanding with direct relevance to light harvesting, photonics, and catalytic technologies.
In this project, you will study the influence that different advanced optimization and machine learning algorithms have on the quality of 3D images generated from X-ray computed tomography measurements of industrial components. The focus is on optimising the ability to detect internal object defects that would compromise component safety.