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Current research degree projects

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Explore our current postgraduate research degree and PhD opportunities.

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225 research degree projects

Engineering | Electronics and Computer Science | Mathematical sciences

Artificial intelligence for environmental fluid dynamics modelling

This exciting PhD project explores the use of Physics-Informed Neural Networks (PINNs) to model complex environmental flows. By integrating AI with fluid mechanics, it aims to enhance simulations of the 2D Shallow Water Equations for applications in flood prediction, infrastructure design, and sustainable water management.

Funding: Competition funded

Closing date: 31 July 2026
Chemistry and Chemical Engineering

Next-generation ultrahigh density spin electronic devices

This project combines advanced 3D lithography and electrodeposition to create magnetic nanowires with controllable “flying” domain wall qubits, enabling quantum computing based on spin textures. By fabricating 3D nanostructures with tunable geometries, the project explores domain wall dynamics, advancing ultrahigh-density, low-energy spintronic and quantum information technologies.

Funding: Competition funded

Closing date: 1 March 2026
Engineering | Electronics and Computer Science | Mathematical sciences

Deep equilibrium machine learning models for the efficient reconstruction of X-ray tomographic images

In this project you will develop advanced machine learning tools to convert real X-ray measurement data into artefact free 3D images. The work draws on a range of ideas from artificial intelligence, optimization, X-ray physics, applied mathematics and computer science.

Funding: Competition funded

Closing date: 31 March 2026
Electronics and Computer Science

Multimodal large language model in human-robot interaction

This project aims to explore a Multimodal Large Language Model framework that enables Social Robots to interpret interaction contexts from various modality inputs, such as vision, language or audio, and provide interactions to users through multiple communication channels, such as speech, gestures or images.

Funding: Competition funded

Closing date: 31 December 2025
Electronics and Computer Science | Mathematical sciences | Economics

Resilient resource allocation in dynamic settings under uncertainty (RRADSU)

The main goal is to improve the state-of-the-art mechanisms for the allocation of scare resources from different, and not always compatible, perspectives of efficiency, fairness and resilience. Muti-agent systems and machine learning techniques will be used to develop better and more sustainable mechanisms.

Funding: Competition funded

Closing date: 30 June 2026
Electronics and Computer Science | Biological sciences

Machine learning on health data from wearables

This PhD project explores the application of advanced machine learning on wearable biosignal data, such as heart rate and activity levels, to enhance personalized health monitoring. Focus areas include multimodal data integration, real-time processing, and privacy-preserving techniques for predictive health insights, offering impactful advancements in personalized digital healthcare solutions.

Funding: Competition funded

Closing date: 31 October 2025
Electronics and Computer Science

AI-based multi-modal 3D environment understanding and visualisation

This project aims to develop an AI-based practical solution for 3D environments understanding from multi-modal input data, such as image, video, audio and text. It will reproduce them in a virtual or augmented reality space allowing real-time 3D interaction with spatial audio adapted to the environment and user locations.

Funding: Competition funded

Closing date: 30 June 2026
Electronics and Computer Science | Politics and international relations

Multimodal Natural Language Processing for computational social science

This PhD focuses on developing deep-learning techniques based on multimodal natural language processing (NLP), including large language models (LLMs), audio processing, computer vision (pose estimation, emotion recognition), knowledge graphs or neurosymbolic models in computational social science, analysing discourse in text/audio/video format, including emotional rhetoric analysis, information extraction, and argument mining.

Funding: Competition funded

Closing date: 31 December 2025
Electronics and Computer Science

Developing effective interfaces for Ecological Momentary Assessment (EMA) data collection to support prediction and treatment of health conditions in the community

Health technologies play important roles in earlier prediction of illness and enabling behavioural interventions to help manage conditions in the community. Ecological Momentary Assessment (EMA) provides essential data to these processes. This project will develop more frictionless interfaces to the collection of EMA data to support a range of interventions.

Funding: Competition funded

Closing date: 31 March 2026
Electronics and Computer Science | Biological sciences

Hypoxic-ischaemic encephalopathy early detection by using image analysis of MRI susceptibility weighted imaging

Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using computer vision and machine learning techniques, HIE disease is diagnosed much earlier than two years which is the current normal practice in hospitals. As a result of HIE early detection, then early interventions can be applied to improve the babies health. 

Funding: Competition funded

Closing date: 31 October 2025