Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
283 research degree projects
-
Electronics and computer science
Ultrathin layered ferroelectrics for energy-efficient electronic memory devices
With modern computing set to consume around 20% of global electricity by 2030 due to the rise of AI, energy-efficient computing hardware is urgently needed. This project aims to develop electronic and optoelectronic memory devices using ultra-thin layered two-dimensional materials. -
Engineering
Fluid-structure interaction using travelling waves for propulsion and micro-pumping applications
This project aims to investigate fluid-structure interaction using travelling waves for propulsion and micro-pumping applications. It combines structural dynamics, fluid mechanics, and advanced numerical modelling to develop efficient, bio-inspired motion strategies for underwater vehicles, biomedical devices, and microfluidic systems. -
Engineering
Nonlinear dynamic behaviour in space structures
This project aims to investigate nonlinear dynamic behaviour in space structures, focusing on light, flexible systems in extreme environments. It combines numerical modelling, analytical methods, and experimental validation to enhance structural resilience for space exploration and extraterrestrial colonisation in collaboration with the European Space Agency (ESA). -
Engineering
Nonlinear damping for space exploration and extraterrestrial structures
This project aims to develop advanced nonlinear damping mechanisms for space exploration and extraterrestrial colonisation. Combining numerical modelling, experiments, and compliant mechanisms, this research tackles regolith interactions and extreme conditions to improve structural resilience. -
Engineering
Advanced sound synthesis of early pianos
This project focuses on understanding and modelling the vibroacoustic mechanisms of early British pianos. The goal is to create virtual replicas of these historical instruments, with an emphasis on the design of hammers, strings, and soundboards, to preserve and appreciate their original sounds. -
Engineering
Enhancing sustainability and durability of concrete materials for marine environments
This PhD project aims to develop low-carbon, high-performance cementitious materials to combat marine corrosion and reduce global CO₂ emissions. Using advanced material characterisation techniques, this project explores microstructure evolution and long-term durability for sustainable ocean infrastructure. -
Engineering
Design, fabrication and characterisation of the next generation multi-material functional gradient scaffold for bone and cartilage regeneration
Scaffolds are important physical substrates for cell attachment, proliferation and differentiation, ultimately leading to the regeneration of tissues. This research aims to develop a novel multi-material functional gradient scaffold that mimics the natural bone and cartilage structure, promoting the regeneration of both, particularly the transition zone between the two. -
Engineering
Experimental and numerical assessment of composite structural joints for virtual certification
Composite materials are at the forefront of airframe technologies successfully providing reliable and high performance aerospace structures. A key barrier to greater deployment of next generation composites for new and novel vehicle concepts is the time and cost associated with certification of new designs. -
Photonics and optoelectronics
Spintronics with atomically thin semiconductors for quantum technologies
Quantum technologies promise efficient and secure information processing, but achieving coherence and entanglement at scale remains challenging. This project explores spin transport in industrially relevant atomically thin 2D semiconductors, focusing on developing optimised devices to enhance coherence, reduce power consumption, and enable ultra-fast operation for practical and sustainable quantum hardware. -
Engineering
Digital twin extrapolation in space object re-entry monitoring
This project aims to develop advanced digital twin technology for space object re-entry monitoring, addressing multiphysics coupling and hybrid uncertainties. The project focuses on uncertainty quantification, robust model updating, and real-time data integration to improve re-entry prediction accuracy.