Explore our current postgraduate research degree and PhD opportunities.
This multidisciplinary project focuses on addressing why thin flaps of skin (membranes) repeatedly evolve to form wings. Our hypothesis is that aeroelastic interactions simplify the task of evolving flight, and therefore similar wings may be useful in developing simple low-cost micro air vehicles
Supervised deep convolutional neural networks (CNNs) and generative adversarial networks (GANs) have gained significant attention for large eddy simulation (LES) subgrid-scale (SGS) modeling in turbulent reacting flows due to their ability to reconstruct statistically meaningful flow fields.
As a researcher on this PhD project, your main objective will be to develop a combined experimental and modelling approach towards digitisation of CO2 utilisation techniques. You will investigate and optimise the overall performance of the process. Insights from this could help make CO2 utilisation more viable so it can help address the challenge of climate change.
As a researcher on this project you will seek to unify the theoretical and existential dimensions of scepticism by exploring Kierkegaard's idea that knowledge requires courage.
Neuromorphic engineering is poised to revolutionise information technologies by developing electronic devices that can realistically emulate biological neural networks.
Distributed fibre optic sensing (DFOS) are becoming increasingly important for marine, maritime, glacial and urban environmental and infrastructure monitoring applications. They are important in scenarios where environmental vibrations can be complex and challenging such as seismic activity, underwater soundscapes, building’s structural integrity, traffic.
Electronic devices, such as computers, mobile phones and data centres, account for a significant amount of the world's energy consumption. Novel technologies are needed to deliver high-speed, low-power and efficient computing and communication.
Chalk streams are important resources that face various threats. This project will focus on quantifying the costs and benefits of aquaculture on the Itchen and Test chalk streams.
This project explores how computer vision and audio analysis can work in synergy to create new technologies. In particular, it focuses on audio-visual artificial intelligence (AVAI), which can be implemented in ultra-low power devices, including wearables, hearing aids and sensors. AVAI is crucial in a range of applications, from advanced hearing aid design to understanding scenes in urban and natural environments.
As a researcher on this project you will combine machine learning and stochastic modelling to improve healthcare outcomes with more effective resource management. You will develop a framework to characterise individualised patient pathways for people with auditory implants. The vision is to develop a transferrable model to improve patient outcomes.