Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This project aims to investigate the effect of varying excitation and loading on the change of electrical impedance of the ultrasonic surgical devices during tissue cutting. It also seeks to implement intelligent and self-adaptive control algorithm. The goal is to achieve a state of autonomously matched impedance between the load and the ultrasonic resonance tracking system. This will help maximise the ultrasonic energy transmission efficiency.
The projects offered span from fast, empirical tools for aero-engine noise prediction, based on high-fidelity CFD or experiments, to full-aircraft and fleet-level noise modelling. These projects will be conducted within the Rolls-Royce University Technology Centre in Propulsion Systems Noise.
This project will explore the combination of Stacked Intelligent Metasurfaces (SIM) and Orthogonal Time Frequency Space (OTFS) in the next-generation Space-Air-Ground Integrated Network (SAGIN).
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.
This project will explore gust-wing interactions in curvilinear flows, focusing on vertical axis wind turbines (VAWTs). It offers a unique opportunity to develop expertise in computational fluid dynamics (CFD), data-driven modelling, and experimental aerodynamics while addressing a critical challenge in renewable energy, such as gust-wing interactions in curvilinear flows.
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.
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.
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.
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.