Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This project develops new methods for characterising materials using ultrasound. It focuses on modern manufacturing techniques (additive manufacturing) and classical challenging configurations (thick-section welds). The results of the project will provide invaluable information for component inspections, enabling interpretation and realistic remaining life prediction.
The aurora provides a unique natural laboratory for studying fundamental plasma physics and charged particle acceleration, and a stunning window on the energy flow from the solar wind into the Earth’s atmosphere. How is dynamic psychedelic kaleidoscope aurora formed, and what does it do to the upper atmosphere?
This project develops AI-assisted models to predict the durability of sustainable, low-carbon concrete in marine environments. Combining advanced characterisation of alternative cementitious systems and carbonated concretes with interpretable machine learning, it enables faster, more reliable design of long-lasting marine structures, advancing the transition to Net Zero and circular construction.
The future Quantum Internet requires coherent transfer of quantum states between disparate platforms. This project develops an alkali-atom-based quantum frequency converter to link trapped-ion quantum processors with telecommunication-wavelength networks. Enabling efficient interfacing between ions and long-distance fiber links is a critical step toward scalable, distributed quantum systems.
The Aerodynamic Translator is a technology that you'll develop to efficiently predict the aerodynamic performance of a ground vehicle, whether the shape of that object.
The aurora has a great variety of shapes and dynamics, indicative of energy transfer into the atmosphere, but the complexity of the system makes it extremely challenging to link these to geomagnetic and solar wind conditions, needed for forecasting. We can solve that problem statistically with a big data set.
Hosted within the Rolls-Royce University Technology Centre (UTC) for Computational Engineering, the following project aims to develop novel fluidic topology optimisation approaches for gas turbine component design by leveraging cutting edge machine/deep learning methods and computational fluid dynamics with the aim of revolutionising the solution of aerodynamic design problems.
New computer hardware is enabling us to carry out computer simulations of the most pressing problems in aerodynamics, relating to boundary layer transition and turbulence. On this project you will join a team of researchers exploiting new facilities and tackling challenging problems, both fundamental and applied.
Optical Networks-on-Chip (ONoCs) offer an innovative solution for on-chip communication by integrating optical links to achieve high bandwidth, low latency, and superior energy efficiency. This project will focus on designing and developing energy-efficient, scalable ONoC architectures for next-generation flexible optical interconnects and high-performance computing systems.
This project will create a simulated road environment game, to understand how people prioritise different road users, and train the next generation of artificial intelligence based control algorithms to make traffic lights operate the way that people want them to.