Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
373 research degree projects
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Electronics and Computer Science
Secure communication protocols for photonic integrated circuits in the quantum era
This project explores new cryptographic protocols for metasurface-enabled photonic circuits, addressing vulnerabilities exposed by quantum computing. By integrating quantum random number generators, authentication methods, and formal verification, the research will deliver quantum-resilient optical communication frameworks, advancing secure photonic networking for defense, government, and commercial applications in the era of quantum technologies. -
Photonics and optoelectronics
Optoelectronic device integration for next-Generation photonic memories and neuromorphic computing
This project focuses on developing nanostructured optoelectronic devices for next-generation photonic memory and neuromorphic computing. You will design and fabricate brain-inspired nanoscale systems using advanced materials and nanopatterning, integrating them with photonic sources to realise high-speed, energy-efficient optoelectronic neural networks for future artificial intelligence (AI) and computing technologies. -
Ocean and earth science
Assessing High-End Sea Level Rise projections and Impacts on Coastal Hazard
Whilst numerous sea level rise projections exist, uncertainty over their upper bounds remain. This PhD will apply a regional, coupled modelling system to examine credible sea level rise maxima under different climate projects, and assess their impact on extreme sea level hazards including storm surge, wave conditions and tidal amplification. -
Electronics and Computer Science
Securing artificial intelligence in autonomous vehicles against cyber threats
This project tackles cybersecurity challenges in AI-powered autonomous vehicles, particularly smart cars. It analyses vulnerabilities in AI models, develops a classification system for cyber threats, and creates a mitigation framework. The research aims to improve resilience, enable safe real-time operation, and set best practices for embedding cybersecurity into AI. -
Photonics and optoelectronics
Advancing on-chip spectroscopic platforms for real-time bedside monitoring of antimicrobial drugs in critical care
Critically ill patients often receive antimicrobials with unpredictable pharmacokinetics, risking subtherapeutic or toxic levels. This project develops a miniaturized on-chip spectroscopic platform using mid-infrared and Raman techniques with AI analysis for real-time bedside Therapeutic Drug Monitoring, enabling precise, personalized dosing, improving safety, reducing resistance, and optimizing ICU care. -
Electronics and Computer Science
Coalgebra for verification
This project will make advances to the rapidly evolving area of coalgebraic verification. This research direction aims to employ methods from the field of coalgebra in order to enhance and extend the applicability of verification techniques. -
Photonics and optoelectronics | Electronics and Computer Science | Chemistry and Chemical Engineering | Physics and astronomy
Detection of ionising radiation using optical hollow-core fibres
This project will explore the use of lasers and optical hollow-core fibres to detect ionising radiation, aiming to realise distributed radiation sensing along a single fibre. A novel detection capability of this kind may find applications in areas ranging from nuclear threat reduction to particle accelerators and future fusion reactors. -
Engineering | Mathematical sciences | Physics and astronomy
Integrating advanced source models for improved airport noise assessment
This PhD project focuses on improving aircraft noise prediction for emerging technologies at early design stages. It involves developing whole-aircraft noise models, incorporating operational factors and fleet-level scenarios. The research supports Rolls-Royce’s noise prediction systems and informs certification standards and airport noise policies. -
Photonics and optoelectronics
Intelligent Nanofabrication for Nanophotonics
Focused ion beam (FIB) milling is a key enabling technology in physical sciences research and industrial micro/nanotech manufacturing. This project will develop and apply deep learning techniques to accelerate and improve FIB nanofabrication processes for advanced photonic materials, in turn enhancing their optical performance and energy efficiency. -
Electronics and Computer Science | Engineering | Mathematical sciences | Physics and astronomy
Qubit efficient quantum optimization and applications to industrial problems
The main challenge in the adoption of quantum computing is the gap between algorithmic requirements and current quantum hardware. In this project, you will get the chance to codevelop novel qubit efficient quantum algorithms that can be used to solve optimization problems and apply them to industries such as logistics, pharma, transport, finance or manufacturing.