Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
450 research degree projects
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Engineering | Electronics and computer science
Control and stability of renewable power plants for a fully decarbonised electric grid
This project will explore how we can deploy unprecedented levels of renewable energy into the electric grid. It will focus on the controller design of pants like solar and wind to ensure stable and reliable power system. This is a project within the Doctoral Centre for Advanced Electrical Power Engineering. -
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. -
Electronics and computer science
Large Language Model event extraction for habitat and environmental impact
Event extraction using deep-learning based Large Language Models (LLMs) for Natural Language Processing (NLP) of social media posts focussing on environmental impact events such as pollution, wildfires and flooding. During this project you will collaborate with the world renowed at Royal Botanic Gardens, Kew (Kew Gardens). -
Electronics and computer science | Engineering | Mathematical sciences | Economics | Sociology, social policy and criminology
AI for sustainability policy appraisal
This PhD project offers a unique opportunity to use artificial intelligence (AI) to shape sustainable policies. -
Electronics and computer science
Orthonormal basis functions for nonlinear data-driven control
This project is focused on how can control systems effectively manage unpredictable nonlinear dynamics in continuous-time systems using real-time sensor data. The main theoretical tool is orthonormal bases of function spaces. This is a project within the Doctoral Centre for Advanced Electrical Power Engineering. -
Electronics and computer science
GATE: Generative AI Trust Evaluation - Assessing the influence of large language models on human behaviour and decision-making
The project aims to improve AI-literacy, distinguish AI from human content, and propose responsible LLM usage guidelines. -
Electronics and computer science | Photonics and optoelectronics
Nanodevices for next-generation memory and neuromorphic computing applications
This PhD project involves developing nanoscale optoelectronic devices for next-generation memory and neuromorphic computing. You will explore advanced materials and nanopatterning techniques to create flexible, brain-inspired devices that emulate neural networks, enabling AI in wearables. -
Electronics and computer science | Photonics and optoelectronics
Polyoxometalate memories for low-power AI hardware
This PhD project focuses on using polyoxometalates (POMs) to develop next-generation nanoscale devices for memory and neuromorphic computing. Leveraging POMs' unique electronic properties, you will design and optimise devices for high stability, energy efficiency, and scalability. Applications include AI hardware and energy-efficient, real-time processing for edge devices. -
Photonics and optoelectronics
Wideband fibre optical parametric amplifiers for space division multiplexing technology
This project aims at developing a novel idea of fibre optical multimode parametric amplification where four-wave-mixing between different fibre modes is exploited to amplify several modes in a wide bandwidth covering the main telecom windows (C+L bands). This is done through the design of novel optical fibres having special refractive-index profile. -
Engineering
Ab Initio modelling and control of turbulent flows
This PhD project will use Resolvent Analysis (RA) to tackle turbulent flow modelling without the need for expensive, scale-resolving simulations. By developing algorithms that dynamically balance RA structures, the project aims to synthesize an approximate turbulent velocity field, enabling detailed yet computationally efficient analysis of complex flows.