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 develop an intelligent engineering system to monitor and improve quality of chest compressions for cardiopulmonary resuscitation (CPR), including in out of hospital settings.
In-situ CO2 biomethanisation, integrating CO2 biomethanisation with anaerobic digestion of biomass, supports the green energy transition and maximises the value of CO2 for renewable bio-products. This project will tackle some of its critical scale-up challenges by taking into consideration of its full-scale operation, metabolic pathway changes and real-time control strategies.
Nanobubbles, characterised by their unique features, present a compelling opportunity to improve biological treatment process performance and efficiency. This project will investigate the application of nanobubbles in biological waste treatment and their potential for retrofitting existing systems.
This project will employ advanced engineering methods, including data mining, signal processing, and machine learning based on our advanced wearable sensors, to detect gait disorders.This interdisciplinary research aims to deliver critical outcomes that will underpin future healthcare monitoring systems and its potential integration of the Internet of Medical Things.
This project focuses on the development of novel bioinspired soft robots based on smart materials for complex locomotion and manipulation in natural environments.
This project will explore and develop smart structures, which integrate advanced sensing, actuation and control, with the overall aim of controlling noise and vibration in practical engineering structures prevalent in automotive, marine and aerospace applications.
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.