Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
41 research degree projects
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Electronics and computer science | Engineering
Enabling minimally invasive brain-machine interfacing
Minimally invasive brain-machine interfacing (MiBMI) establishes a direct communication pathway between the brain and external devices with minimal disruption to the brain or surrounding tissues. These approaches aim to reduce surgical risks, recovery times, and complications while maintaining or improving the accuracy and functionality of the interface. -
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. -
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. -
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. -
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. -
Engineering | Electronics and computer science
Novel physical layer techniques for non-terrestrial networks
This project will develop novel techniques to enhance the physical layer performance of 5G non-terrestrial networks. In particular, Multiple Input Multiple Output (MIMO) techniques for exploiting inter-beam interference and for user-specific beamforming can be used for enhancing capacity and coverage. -
Electronics and computer science
Biomedical control systems
Developing effective, inexpensive systems for stroke rehabilitation is an urgent, worldwide problem. This project will develop rehabilitation systems that use functional electrical stimulation (FES) to artificially activate muscles via surface electrodes placed on the skin. You will design the controllers and test them with patients in collaboration with physiotherapists and clinicians. -
Photonics and optoelectronics | Ocean and earth science | Physics and astronomy | Engineering
Developing next-generation marine sensors using intracavity absorption spectroscopy for advanced ocean monitoring
This exciting PhD project focuses on advancing single-wavelength intracavity absorption spectroscopy for marine sensing. -
Photonics and optoelectronics
Advanced beam shaping for next-generation fibre lasers
Join our pioneering PHD project and be part of the future of laser technology. Fibre lasers are revolutionizing the field, providing unmatched stability without the need for moving parts or mirrors, making them an ideal solution for next-generation laser systems. -
Electronics and computer science
Replacing Si with 2D materials by developing the technique to dope them
We are looking for an exceptional candidate to join our team to develop a novel technique to dope transition metal dichalcogenides and investigate their commercial potential by working with our industrial partners, Intel, Graphenea and Grolltex.