Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Search PhD projects
271 research degree projects
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Electronics and Computer Science | Chemistry and Chemical Engineering | Physics and astronomy
Algorithm development for molecular simulations on quantum computers
Dive into the fascinating world of quantum computing by developing new algorithms for molecular simulations and running your algorithms on actual quantum hardware. Your interest and background shapes the project with a focus on quantum chemistry inspired method development, algorithms enabling ultrafast dynamics, or quantum error mitigation schemes. -
Photonics and optoelectronics | Biological sciences | Engineering
Advanced lasers for quantum enhanced microscopy
This PhD project aims to develop advanced entangled photon sources for quantum enhanced microscopy, enabling high-resolution, label-free, deep-tissue imaging. By combining mid-infrared probing with near-infrared detection, the project leverages quantum physics to overcome limitations of classical microscopy in biomedical research. -
Electronics and Computer Science
Continuous-variable quantum key distribution with 5G technology integration
The objective of this project is to integrate quantum communication into emerging wireless networks, paving the way for a global quantum network in time for 6G. -
Engineering | Chemistry and Chemical Engineering | Physics and astronomy
Quantum-enhanced mid-IR spectroscopy for high-precision sensing
This project aims to revolutionise diagnostics with a quantum-enhanced mid-IR sensing platform for quick, easy and non-invasive detection of pollutants and disease markers. By integrating advanced materials, it will enable ultra-sensitive, real-time environmental and health monitoring, offering a powerful tool for early disease detection and improved pollutant tracking. -
Engineering | Electronics and Computer Science | Mathematical sciences
Deep equilibrium machine learning models for the efficient reconstruction of X-ray tomographic images
In this project you will develop advanced machine learning tools to convert real X-ray measurement data into artefact free 3D images. The work draws on a range of ideas from artificial intelligence, optimization, X-ray physics, applied mathematics and computer science. -
Photonics and optoelectronics
Low-loss photonics for quantum networks
In the world of Quantum Technology every photon is precious. This project will create new ultra-low-loss optical components that will lead to advanced quantum memories, switchable delays, and the creation of large, entangled quantum states. -
Engineering | Mathematical sciences
Bio-inspired control of non-equilibrium turbulent boundary layers for efficient low-noise aerofoils
This project aims to study and identify the beneficial effects of using bio-inspired geometry on aerofoils, enhancing aerodynamic efficiency and reducing the noise generated from non-equilibrium turbulent boundary layers. It is a computational study by using a highly optimised CFD code on the UK supercomputer ARCHER2. -
Electronics and Computer Science | Mathematical sciences | Economics
Resilient resource allocation in dynamic settings under uncertainty (RRADSU)
The main goal is to improve the state-of-the-art mechanisms for the allocation of scare resources from different, and not always compatible, perspectives of efficiency, fairness and resilience. Muti-agent systems and machine learning techniques will be used to develop better and more sustainable mechanisms. -
Electronics and Computer Science
AI-based multi-modal 3D environment understanding and visualisation
This project aims to develop an AI-based practical solution for 3D environments understanding from multi-modal input data, such as image, video, audio and text. It will reproduce them in a virtual or augmented reality space allowing real-time 3D interaction with spatial audio adapted to the environment and user locations. -
Electronics and Computer Science
Developing effective interfaces for Ecological Momentary Assessment (EMA) data collection to support prediction and treatment of health conditions in the community
Health technologies play important roles in earlier prediction of illness and enabling behavioural interventions to help manage conditions in the community. Ecological Momentary Assessment (EMA) provides essential data to these processes. This project will develop more frictionless interfaces to the collection of EMA data to support a range of interventions.