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 a real-time in-situ plasma measurement payload for CubeSats. This payload will enable CubeSats to measure the characteristics of their space environment in real time, providing crucial information about interactions that could cause failure and possible ways to mitigate them.
This project focuses on advancing the trustworthiness and usability of multi-robot systems, particularly in the context of swarm robotics.
This project will be observationally driven and you will have proprietary access to two new spectroscopic survey datasets from the 4MOST spectrograph on the ESO VISTA telescope, and the MOONS spectrograph on the Very Large Telescope, which are due to begin observations in 2025.
This project aims to answer the questions of how supermassive black holes (SMBHs) grew through cosmic time and how they interacted with the growth of their galaxies.
Modern all-sky astronomical surveys have started detecting unusual, extremely luminous, and long-lived flares in the centres of distant galaxies. These flares are too bright to be caused by the death of a single star and are more likely the result of a violent accretion of material onto a supermassive black hole. This project aims to uncover what that material is and how it gets there, which is key to understanding how black holes grow.
This project aims to improve transition models in computational fluid dynamics (CFD) to achieve better agreement between simulations and scale model wind tunnel experiments. You will work closely with one of the world's largest aerospace companies to explore relevant problems in the aerospace industry.
This nuclear magnetic resonance project aims to develop and microfabricate tuned RF coils and Lenz lenses, enhancing signal-to-noise in NMR and MRI experiments on tissues grown on 3D-printed scaffoldings.
This project aims to develop a scalable and controllable doping technique to overcome the major obstacle of doping 2D materials. Our vision is to encourage the semiconductor industry to adopt 2D materials into their manufacturing pipelines and integrate them into 2 nm node transistor technologies for data communications, computing and sensing.
This project will build on the team's expertise in advanced imaging, image-based modeling, and dosimetry to design and manufacture a dosimetry phantom of the lumbar spine that accurately mimics the vertebral bodies. Join our interdisciplinary team and help develop new and innovative ways to improve radioimmunotherapy dosimetry.
This PhD project aims to develop techniques and software that can quickly identify low-cost spacecraft trajectories between Earth and the Moon, and also between the Moon and outer space, taking into account mission budgets, specific requirements, and post-failure conditions.