Explore our current postgraduate research degree and PhD opportunities.
Carbon capture and storage (CCS) is a key technology in the transition to a low carbon economy. It involves collecting CO2, usually during industrial activities, and injecting it into reservoirs deep in the earth where it will not contribute to climate change. In this project, you will be developing methods which detect and quantify escaping gas, should a leak occur (leaks are expected to be very rare events so the technology must be reliable).
We are delighted to invite applications for a 4-year interdisciplinary PhD studentship in VR content production for inclusive virtual education. Working with stakeholders at all stages, you will research, design, develop and test an open VR content production solution for educators and students. This will aim to overcome the barriers to the widespread adoption of VR in schools, using science to raise young people’s awareness and interest in health issues. This will also make positive changes to health-related attitudes.
The potential of therapeutic mRNA became evident in the early 1990s. Up to date, the development and application of mRNA in therapy have been drawing the interest of several biotech companies. The future potential of mRNA technologies has also been established by the Covid pandemic.
This PhD project explores machine learning techniques for affective computing that automates the process of recognising, interpreting and simulating human affects such as facial emotion generation. The current affective computing domain suffers from remarkable expenses and ambiguities on manual annotations.
This PhD project aims to develop the reduced state-to-state (StS) model for high-fidelity hypersonic aerothermodynamic simulations using machine learning methods.
This PhD project aims to develop a high-performance version of ALPS (ALl-printed Propulsion System to maintain attitude of VLEO (Very Low Earth Orbit).
We are currently looking for a motivated and passionate PhD student to join our maritime engineering research team at the University of Southampton. We are developing a collision avoidance model for autonomous surface ships operating in restricted waters.
Join our Aerodynamics and flight mechanics research group and guide your career through a diverse set of novel, open-ended problems with multidisciplinary teams.
Join our world-leading Signal processing, audio and hearing group research team.
This PhD will use computer science and programming skills to integrate Big Data (digital healthcare records and genomics), developing and testing tools that guide clinical decisions for patients with inflammatory bowel disease. This project will centre on application of personalised, precision medicine, resulting in better outcomes and enabling application to other autoimmune conditions.