Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
275 research degree projects
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Electronics and Computer Science | Engineering
AI-based virtual microphone technique for automotive applications
This project offers a unique opportunity to merge artificial intelligence (AI), acoustics, and active sound control. It aims to develop ground-breaking AI-based technology that predicts the sound at the ears of car occupants using signals from microphones placed elsewhere in the vehicle, ultimately enabling localized active sound control within the car interior. -
Engineering | Mathematical sciences
Bio-inspired control of non-equilibrium turbulent boundary layers for efficient low-noise aerofoils
This project aims to study and identify the beneficial effects of using bio-inspired geometry on aerofoils, enhancing aerodynamic efficiency and reducing the noise generated from non-equilibrium turbulent boundary layers. It is a computational study by using a highly optimised CFD code on the UK supercomputer ARCHER2. -
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. -
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
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. -
Engineering | Geography and environmental science
Silent piling for offshore wind turbines
You will develop a novel predictive model for the 'silent' installation of open-ended piles for offshore wind turbine foundations, through advanced physical and numerical modelling. You will improve the fundamental understanding of pile installation, while developing practical tools for the offshore industry, accelerating the path to a carbon-neutral world. -
Engineering
Anchoring our future - floating offshore wind turbine foundations
New, efficient design methods are urgently needed to unlock deeper waters for offshore renewable energy infrastructure. In this PhD project, you will learn about established methods to design fixed offshore foundations to resist cyclic storm loading, then lead the way in developing these into new design approaches for anchoring systems. -
Photonics and optoelectronics
Programmable silicon photonic circuits
This project will focus on the development of reliable and efficient programmable photonic integrated circuits (PICs) on a silicon photonics platform. -
Photonics and optoelectronics
Advanced beam shaping for next-generation fibre lasers
This project focuses on developing advanced fibre designs and novel devices for programmable spatial and polarization beam shaping, pushing the boundaries of fibre laser performance and versatility. -
Photonics and optoelectronics
Silicon devices for nonlinear photonics and applications
This project seeks to develop compact and power efficient nonlinear silicon photonics devices for use in wide ranging applications such as telecommunications, medicine and spectroscopy. The designs will focus on robust and low-loss component-to-component interconnection, to improve the sustainability and practicality of future photonic systems.