Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Search PhD projects
271 research degree projects
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Engineering
Ultrasonic drilling for minimally invasive assessment of inhomogeneous damage in degraded concrete
This project aims to develop a robot-integrated ultrasonic drilling system for minimally invasive, high-resolution assessment of inhomogeneous damage in degraded concrete. By combining ultrasonic sensing and force measurement during drilling, the system enables real-time subsurface characterization in extreme environments such as underwater or post-fire, supporting safer infrastructure inspection and maintenance. -
Engineering
Rapid alloy discovery and characterisation of additively manufactured Type 316 stainless steel and its advanced variants
This project aims to accelerate bulk alloy discovery for additive manufacturing by leveraging smart design and 3D printing of material libraries to dramatically increase the throughput of characterisation and testing. Integrated with AI-assisted workflows, the project will streamline data curation and enable rapid exploration of structural material systems. -
Electronics and Computer Science | Engineering
Stacked Intelligent Metasurface (SIM) for Orthogonal Time Frequency Space (OTFS)
This project will explore the combination of Stacked Intelligent Metasurfaces (SIM) and Orthogonal Time Frequency Space (OTFS) in the context of Space-Air-Ground Integrated Network (SAGIN) applications. -
Electronics and Computer Science | Engineering
Visible Light Integrated Sensing and Communication (VL-ISAC)
Imagine a world where there is Internet access and radar-assisted living and quantum security, wherever there is light. The objective of this project is to implement Integrated Sensing and Communication (ISAC) in visible light bands. -
Chemistry and Chemical Engineering
Advancing membrane electrochemical systems for sustainable resource recovery and carbon capture
This project will develop an integrated membrane electrochemical system (MES) that enables efficient lithium recovery and CO₂ capture. By combining innovative membrane material design with advanced electrochemical engineering, the research aims to deliver a transformative technology for sustainable resource recovery and carbon management, supporting the global drive toward net-zero emissions. -
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
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 | 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. -
Electronics and Computer Science | Engineering | Physics and astronomy
Nano-opto-electro-mechanical (NOEM) tunable SiC entangled photon source
A novel nano-opto-electro-mechanical (NOEM) tunable SiC entangled photon source will be developed for future on-chip quantum photonic circuits technology. Design optimisation, device fabrication and single photon measurements are planned to prove the working principle and tunability of the device. -
Electronics and Computer Science | Physics and astronomy | Engineering
Quantum reservoir computing via Nano-Opto-Electro-Mechanical (NOEM) coupled quantum oscillators
The aim of the project is to develop a novel platform technology for quantum reservoir computing, a promising approach for quantum neural networks where quantum information can be used as data in machine learning algorithms.