Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This project pioneers deep learning for turbulence modeling, focusing on wall-bounded flows. By combining convolutional neural networks (CNNs), generative adversarial networks (GANs), and physics-informed methods, it aims to develop hybrid predictive models that overcome current limitations. The research supports scalable, accurate simulations of multi-scale phenomena, advancing computational design across energy, transport, and biomedical applications.
Modern lightweight space structures face harsh environments and often exhibit nonlinear dynamics due to contacts, friction, and geometric nonlinearities. This project combines numerical, analytical, and experimental methods to develop physics-informed machine learning tools for efficient nonlinear system identification, enabling accurate modelling and validation of the next-generation space technologies.
The Department of Aeronautical and Astronautical Engineering at the University of Southampton is offering PhD scholarships focused on using active thermography to inspect aerospace composites. The project aims to improve how defects are detected and analysed in aircraft materials, helping ensure safer and more efficient maintenance.
Alzheimer’s disease (AD) is a neurodegenerative disease, with a complex biology. In this PhD project, we aim to explore the anti-inflammatory and neuroprotective properties of hydrogen sulfide (H2S) compounds derived from Brassica species, for example: broccoli. The results may lead to a novel treatment options for AD.
This project focusses on the development of a next-generation high-fidelity topology optimisation (TopOpt) framework for thermofluid systems. It aims to advance simulation-driven design tools to automatically generate complex flow and heat transfer structures with superior performance to conventional designs.
Transport symbolism, which refers to what a user perceives their travel mode says about them, is an important influencer of modal choice. This project builds upon qualitative work, by quantitatively examining how different transport users across varying cultures rate symbolic considerations relative to instrumental measures when choosing a travel mode.
This project focuses on designing and fabricating next-generation photonic fibre technologies using our advanced cleanroom facilities. While traditionally central to global telecommunications, these optical fibre platforms will be repurposed to develop renewable energy solutions, including solar power generation and low-cost energy storage, contributing to net-zero carbon goals.
This project focuses on designing and fabricating novel photonic computing devices using chalcogenide glass materials such as sulfur (S), selenium (Se) and tellurium (Te). These materials enable the creation of micro and nanoscale structures known as meta-optics, that precisely control light over a broad spectral range.
This project focuses on developing chalcogenide glass materials using group VI elements such as sulfur (S), selenium (Se) and tellurium (Te), for advanced optical, photonic, and electronic applications.