Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
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 will explore how we can deploy unprecedented levels of renewable energy into the electric grid. It will focus on the controller design of pants like solar and wind to ensure stable and reliable power system. This research is part of the Doctoral Centre for Advanced Electrical Power Engineering.
This project focuses on railway noise and vibration. By integrating computational modelling, experimental measurements, and AI-driven insights, the research aims to develop predictive models for noise reduction and sustainable railway development.
This project develops wearable sensors for continuous respiratory rate monitoring. Using thermoelectric materials, e-textile techniques, and micro/nanofabrication, researchers will create flexible, self-powered sensors integrated into wearable devices for respiratory rate monitoring. Work includes material optimisation, sensor design, circuit integration, and breathing rate testing.
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.
This is a PhD Studentship in Nanophotonics and Metamaterials with Industrial placement at QinetiQ. This project will explore the design and fabrication of optical metasurfaces for infrared applications using advanced cleanroom nanofabrication and nanophotonics experiments.
This project will focus on the use of FLOWBIO’s S1 wearable, biometric wearable data and lab-based physiological data to develop novel machine learning, artificial intelligence (AI) implementations and developments for hydration status and performance.