Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
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. Multi-agent systems and machine learning techniques will be used to develop better and more sustainable mechanisms.
This PhD project aims to develop machine learning algorithms for the inverse design of metasurfaces, targeting applications in intelligent sensing for complex environments, such as biomedical fields and consumer electronics.
This PhD project leverages Digital Twin technology for cybersecurity in Critical National Infrastructure, focusing on real-time cyberattack monitoring and Operational Technology security. By creating secure digital replicas of physical systems, the research aims to enhance Critical national infrastructure resilience and offer a proactive defence strategy against potential cyber threats.
AI Safety in the health setting. Advancements in AI lead to clinical uses of AI systems for the triaging and care suggestions for patients. AI Safety in the clinical setting has a diverse range of stakeholders, regulatory requirements and needs.
This PhD project develops optimised surface topographies for drag reduction in turbulent flows. Using Reynolds-Averaged Navier-Stokes simulations and linear input-output analysis, it aims to design passive surfaces that influence turbulent scales for efficient drag control. Ideal for candidates with expertise in fluid dynamics, CFD, and mathematical optimisation.
Internet-connected devices, such as mobile or IoT devices, are now widely used in elderly care for monitoring and tracking. This project aims to explore the security, privacy, and usability issues that older adults and their caregivers face throughout the life cycle of these Internet-connected devices.
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.
This project aims to develop an AI-based practical solution for 3D environments understanding from multi-modal (audio/visual) input data and reproducing it in a virtual or augmented reality space allowing real-time 3D interaction with spatial audio adapted to the environment and user locations.
We are seeking a motivated PhD candidate to develop bio-inspired smart skin that emulates the remarkable sensory abilities of human skin. This technology will transform prosthetics and humanoid robotics, allowing these systems to engage with their environments with exceptional sensitivity, safety, and adaptability. Your work will help restore sensory perception for individuals with sensory loss and enhance the tactile responsiveness of humanoid robots for safer and more intuitive human-robot interactions.
This PhD project tackles the urgent need for robust security solutions in cross-chain environments in Web3, aiming to safeguard the integrity of interconnected blockchain networks.