Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
373 research degree projects
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Engineering
Engineering an in vitro model of human hand osteoarthritis
Osteoarthritis is a condition with no cure that affects millions. For hand osteoarthritis, there are even fewer treatment options available. There is currently very limited ability to mimic living hand joints, meaning we struggle to trial new innovative treatments in a risk-free environment. This project aims to change this. -
Electronics and Computer Science | Engineering
Using Large Language Models to control Multi-Robot Systems
This PhD develops language-guided multi-agent reinforcement learning to enhance coordination in multi-robot systems. You will design frameworks for inter-robot negotiation, optimize training efficiency, and evaluate performance in collaborative tasks, contributing to advanced autonomous robotics with applications in search and rescue, environmental monitoring, and complex team-based operations. -
Electronics and Computer Science
Quantum-Classical Computing for Computational Fluid Dynamics and Applications
This project explores the emerging field of Quantum Computational Fluid Dynamics (QCFD), combining quantum computing and CFD to simulate nonlinear systems such as turbulence and shockwaves. You will be working and implementing quantum variational algorithms in quantum computers that bridge fundamental physics with quantum algorithmic innovation for next-generation fluid simulation. -
Engineering
Resilient design of submerged infrastructure under complex hydrodynamic conditions
This project investigates hydrodynamic interactions between environmental flows, submerged infrastructure, and sediments to enhance the resilience of critical structures such as bridge piers and offshore energy foundations. Using large-scale laboratory experiments and advanced analysis, the research aims to inform sustainable, cost-effective and efficient design for complex environmental conditions. -
Electronics and Computer Science | Mathematical sciences
Game theory of Agentic AI
Agentic AI is rapidly affecting diverse aspects of our life, including social, technological and financial interactions. They may seem like human agents, yet their "thinking" and "reasoning" is not the same. The aim of this project is to study, understand and design the strategic interaction between LLM agents. -
Biological sciences
Membrane Protein Dynamics for Agrochemical Innovation
Food security demands better agricultural inventions to ensure reliable access to sufficient, safe, and nutritious food for an active and healthy life. This PhD project develops ways to explore dynamic structural biology of membrane proteins important for insect and weed control, to inform on drug action and shorten drug-discovery timelines. -
Electronics and Computer Science | Chemistry and Chemical Engineering | Physics and astronomy | Engineering
Resource-efficient simulation of chemistry with quantum computers
This project will involve the development of novel resource-efficient quantum algorithms for molecular simulation and their adaption in state-of-the-art quantum hardware in the cloud and with collaborators. -
Electronics and Computer Science
Data-driven iterative learning control: achieving model-free convergence for real-world systems
This PhD project aims to advance iterative learning control (ILC) by eliminating the dependency on analytical models, which are often costly or impractical to obtain. By leveraging data-driven control and optimization methods, this research will develop novel ILC algorithms that achieve high convergence performance directly from data. -
Electronics and Computer Science
Learning based control systems for additive manufacturing
This project explores learning based control systems for additive layer manufacturing (3D printing) in electrical engineering. Using machine learning and advanced control theory, it aims to optimise printing processes, reduce defects, and enhance component performance, bridging a key gap between AM technology and reliable, high-quality materials for the electrical power sector. -
Electronics and Computer Science | Engineering
Development of robot swarms for wildfire detection
This PhD develops swarm algorithms for real-time wildfire monitoring. The project focuses on collective perception, fusing distributed observations under uncertainty, and predictive modeling of fire spread using generative and machine learning approaches. The goal is a scalable, autonomous system providing actionable intelligence for rapid wildfire response.