Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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243 research degree projects
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Electronics and Computer Science
Quantum machine learning for efficient spike sorting in low-cost neural recording systems
This project explores quantum machine learning, specifically quantum kernel methods, to enable efficient spike sorting for resource-constrained neural recording systems. The goal is to overcome computational limitations of current methods, facilitating real-time applications like brain-computer interfaces and portable neurotechnology. -
Engineering
Sound-activated injectable biomaterials for healing bones
Broken bones don鈥檛 always heal, and current treatments are invasive and imprecise. In this project you鈥檒l explore how ultrasound can 鈥渟witch on鈥 bone repair using injectable biomaterials. By combining nanoclay scaffolds with responsive agents, you will aim to control where new bone forms for non-invasive regeneration. -
Electronics and Computer Science
Enhancing reliability and lifetime of dry-type transformers in renewable energy applications
Offshore wind plays a crucial role in the UK鈥檚 electrical energy generation. To ensure security of supply, wind farms must remain available for connection to the transmission network and consistently meet their generation requirements. This project aims to enhance wind turbine reliability through the development of advanced condition鈥憁onitoring diagnostic tools. -
Electronics and Computer Science
2D-transition metal dichalcogenide nanoelectronic devices for neuromorphic computing
This project will explore transition metal dichalcogenide (TMDC) semiconductors to build transistors and memristive devices enabling energy-efficient neuromorphic systems. The project forms part of the EPSRC EXPRESS Programme Grant and combines nanofabrication, device physics and advanced materials characterisation. -
Engineering | Mathematical sciences
Multifunctional soft smart materials for adaptive sensing, actuation, and energy harvesting in loaded body interfaces for people with disabilities
This PhD project develops multifunctional soft actuatable materials for integrated sensing, actuation, and energy harvesting in biomedical loaded-body interfaces. Using polypyrrole (via ion intercalation/electroosmotic swelling for bending) or IPMC (ionic migration causing asymmetric swelling), devices target plantar-shoe interfaces for people with foot dysfunctions, residual limb-socket for lower-limb amputees, and wheelchair seating to enhance comfort, pressure management, and mobility. -
Engineering
Intelligent X-ray computed tomography scanning for advanced manufacturing
This project will develop intelligent scanning strategies that overcome the limitations of conventional X-ray computed tomography (XCT), enabling inspection of next-generation engineering components. -
Engineering
An investigation of electrical contact materials for micro-electro-mechanical system (MEMS) switching
This project aims to overcome the long鈥憇tanding reliability limitations of MEMS switches by enabling robust low鈥憊oltage hot switching under load conditions. -
Engineering
Rebuilding bone: additive bio-manufacturing of functionalized nanoclay bone tissue engineering scaffolds
This project aims to transform the treatment of large bone defects by creating personalised, 3D-printed scaffolds that are strong, bioactive and clinically relevant. You will develop functionalised nanoclay hydrogel bioinks, optimise additive bio-manufacturing, and validate performance in vitro with engineering鈥搈edicine collaboration and Renovos Biologics. -
Electronics and Computer Science
Verification of neuro-cyber-physical systems
Formal verification of neuro-symbolic cyber-physical systems, such as drones, medical devices and robots, is complicated. Neural components must be trained to be optimal with respect to the available data as well as the safety specifications, and then verified using specialised solvers. -
Chemistry and Chemical Engineering
Rational design of ionic liquid based systems for explosives detection
This project combines advanced molecular modelling, machine learning, and quantum chemistry to predict how energetic compounds interact with ionic liquids鈥攗nlocking lightweight, adaptable sensing systems for defence. It includes collaboration with industrial sponsor, and interdisciplinary CDT training.