Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
The project brings ideas from the observation of "in-context learning" in large language models into quantum computing. The aim is to design transformer-inspired quantum circuit architectures that brings in-context choice of families of measurement operators for shadow tomography. This contributes to hybrid NISQ quantum-classical algorithms.
How can we “see” sound in three dimensions? In this project, you will develop intelligent 3-D beamforming methods that fuse advanced acoustic modelling with data-driven learning.
Harnessing structural disorder to control light offers a new route to highly efficient solar thermal energy harvesting. This project will develop and model hyperuniform disordered metasurfaces, a new class of nanostructured materials that achieve near perfect absorption and minimal thermal losses for next generation solar thermal energy systems.
Postural Orthostatic Tachycardia Syndrome (POTS) predominantly affects young women and has a profound impact on quality of life. This PhD will advance the design and evaluation of mobile health tools to support patients in self-managing their condition through inclusive, evidence-based, and low-energy digital interfaces.
This PhD project focuses on developing advanced algorithms for collective perception and prediction in a distributed UAV swarm to enable real-time wildfire monitoring and forecasting.
Chemistry impacts our lives everyday, from medicines, to materials and the environment. It is essential to develop new processes and strategies to solve some of most urgent and global problems of our time. We offer PhD opportunities in diverse research areas across organic and biological chemistry, towards tackling these issues.
This project focuses on leveraging remote sensing data (satellite imagery and related datasets) to produce high-resolution, low-cost socioeconomic and environmental maps, with a particular emphasis on scalable algorithms rooted in submodularity and combinatorial optimization.
Every day, thousands of staff, patients, and visitors travel to hospitals, creating congestion, delays, and emissions. This project reimagines hospital transport through intelligent, shared mobility. You’ll design algorithms for optimal routing, scheduling, and pricing, building simulations that cut costs, reduce carbon, and make hospital travel smarter, faster, and more sustainable for everyone.