Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
192 research degree projects
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Electronics and Computer Science | Engineering
Soft materials for ambient energy scavenging applications
This project aims to develop advanced flexible materials used as dielectric elastomer transducers (DET) in energy harvesting applications. As part of the Doctoral Centre for Advanced Electrical Power Engineering, your research will seek to maximise DET efficiency in converting energy naturally available in the surrounding environment into sustainably sourced, electricity. -
Engineering | Electronics and Computer Science | Mathematical sciences | Physics and astronomy
Modelling gust-wing interactions in curvilinear flows
This PhD project will explore gust–wing interactions in vertical axis wind turbines (VAWTs). Integrating computational fluid dynamics, data-driven modelling, and experiments on a custom-built VAWT rig, you will examine how gusts influence blade aerodynamics in curvilinear flows and develop predictive tools to mitigate their adverse effects. -
Electronics and Computer Science | Engineering
Control and stability of renewable energy sources
This project will explore how we can deploy unprecedented levels of renewable energy into the electric grid. It will focus on the controller design of plants like solar and wind to ensure stable and reliable power system. This research is part of the Doctoral Centre for Advanced Electrical Power Engineering. -
Electronics and Computer Science
High-performance non-volatile rewritable memory on flexible substrates
Flexible electronics are transforming modern technology, enabling lightweight, bendable, and wearable devices that integrate seamlessly into everyday life. From healthcare to smart packaging, flexible electronics provide novel functionalities that rigid counterparts cannot achieve. This project aims to develop highly reliable, durable, and high-speed non-volatile memory on flexible substrates. -
Engineering
Acoustic scaling between air and water
This project explores acoustic scaling between air and water by investigating differences in propeller acoustic radiation in both media. Using full-scale water measurements and partial-scale air measurements, it aims to develop a predictive model for underwater acoustics based on air tests, enhancing our understanding of cross-medium acoustic scaling for propeller noise analysis. -
Engineering
Prediction of propeller noise in the presence of in-flow turbulence
This project aims to develop predictive models for propeller noise generated by in-flow turbulence. It will investigate how background turbulence and upstream obstacles, such as hulls or support structures, impact propeller noise, enhancing our ability to predict and mitigate noise in non-uniform flow environments for improved marine vessel design and operation. -
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. -
Photonics and optoelectronics
AI-driven circuit design for silicon photonics
The aim of this project is to explore new frontiers in the design of photonics integrated circuits (PICs) by using artificial intelligence (AI). The project has potential to revolutionise chip design and manufacturing processes by reduction of circuit footprint, optimisation of various elements and devices and their integration, and enabling more efficient packaging. It can play a crucial role in shaping the future of PICs and their implementation in various applications. -
Electronics and Computer Science | Engineering
Enabling minimally invasive brain-machine interfacing
Minimally invasive brain-machine interfacing (MiBMI) establishes a direct communication pathway between the brain and external devices with minimal disruption to the brain or surrounding tissues. These approaches aim to reduce surgical risks, recovery times, and complications while maintaining or improving the accuracy and functionality of the interface. -
Engineering | Electronics and Computer Science | Mathematical sciences
Artificial intelligence for environmental fluid dynamics modelling
This exciting PhD project explores the use of Physics-Informed Neural Networks (PINNs) to model complex environmental flows. By integrating AI with fluid mechanics, it aims to enhance simulations of the 2D Shallow Water Equations for applications in flood prediction, infrastructure design, and sustainable water management.