Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
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.
In this industry sponsored project, you will develop advanced machine learning tools to detect and remove scatter artefacts from X-ray images acquired with state of the art, high energy X-ray imaging systems, where scatter becomes the dominant source of image artefact.
The NExT Institute proposes a project on the `HL-LHC upgrade of the CMS hardware trigger and searches for new physics’. The Compact Muon Solenoid (CMS) experiment will upgrade its Level 1 trigger system for High Luminosity Large Hadron Collider (HL-LHC) operation.
This project aims to design and build software-controlled smart surfaces to shape wireless signals for advanced applications like analogue computation and next-generation communications. It will pioneer active metasurfaces that dynamically steer, process, and amplify electromagnetic waves, blending theoretical modelling, PCB design, and lab testing to create the foundation for future programmable radio environments.
This project will develop advanced machine learning methods to transform heterogeneous, routinely collected medical data into explainable, uncertainty-aware insights for healthcare decision-making. Combining multimodal data, longitudinal modelling, and personalised uncertainty quantification, the project tackles critical challenges in digital health, improving disease prediction, monitoring, and communication of confidence in clinical decisions.
The aim of this project is to develop formal models of accountability and liability using logic, game theory, and agent-based simulation. You will explore responsibility under uncertainty, delegation, and trust, with applications in autonomous systems, digital governance, and ethical AI.
This project offers a rare opportunity to work with the UK’s only roll-to-roll sputtering system, a brand new and bespoke platform designed specifically for next-generation material discovery. You’ll explore innovative thin-film materials for flexible electronics, developing scalable recipes that bridge cutting-edge research with real-world commercial compatibility through high-throughput, fabric-friendly processes.
This project, in the field of ultrasonic surgery, focuses on the development of cutting-edge miniature ultrasonic devices targeted for bone surgery. It seeks to advance the current state-of-art design by introducing new configurations and incorporating novel structures in miniaturised devices to enhance precision and improve clinical outcome.
Microbiologically-influenced corrosion and biofouling in hostile marine and offshore energy sectors costs billions annually. This project advances in-situ spatial biofilm analyses to map microbe–surface interactions and develops data-driven genome-scale metabolic models. Combining genomic, electrochemical, and imaging techniques, it will predict and control biofilm-mediated structural corrosion through novel natural mitigation strategies.
The analysis of financial risk relies on chaotic systems, which are difficult to predict due to their sensitivity and complexity. In this project, you will build on existing machine learning research to create effective prediction approaches, and work alongside experts in chaos modelling, machine learning, and finance to achieve this.