Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
The University is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.
You will join the UK-funded Offshore Renewable Energy (ORE) Supergen Hub project, which aims to advance ORE to meet net zero by 2050. You will be part of the geotechnical team and will contribute to research that streamlines and optimises offshore wind developments.
Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? This project will enable machines to imagine, control and leverage the auditory consequences of physical interactions with the environment.
Hydrogen will be the preferable energy carrier among synthetic fuels to address the spatial and temporal separation between energy production (renewable source) and consumption. It is carbon-free and well-suited for easy and inexpensive long-distance transport and long-term storage.
This PhD project will lead to the conception of functionally graded advanced components, combining properties that are considered unattainable.
Tackle the real-world challenge of developing strategies to protect buildings and their occupants from explosions.
This exciting experimental project aims to characterize the performance metrics and the flow over hydrofoils in canonical oscillatory motions at high Reynolds numbers. The work requires detailed flow diagnostics and the use of direct force/pressure measurement techniques.
This PhD project intends to develop a novel automotive LiDAR (light detection and ranging) sensor, by using optical nanostructures to mimic the quantum phenomenon of “bound states in the continuum”. It aims to enhance driving safety and efficiency, contributing to the advancement of fully autonomous driving.
This groundbreaking research project is dedicated to advancing the field of wave engineering and transformation within superconducting quantum computers and quantum processors. The focal point of our investigation lies in the exploration of space-time-varying superconducting metasurfaces, aiming to push the boundaries of next-generation quantum computing.
The key aim of this PhD is to investigate ionic liquid-based fuel and oxidiser propellants in a green bipropellant rocket engine. This will involve theoretical analysis and simulation of the complex combustion chemistry that will occur in such a thruster, and the experimental design and testing of such a large bipropellant rocket.