Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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248 research degree projects
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Electronics and Computer Science | Physics and astronomy | Engineering
Quantum reservoir computing via Nano-Opto-Electro-Mechanical (NOEM) coupled quantum oscillators
The aim of the project is to develop a novel platform technology for quantum reservoir computing, a promising approach for quantum neural networks where quantum information can be used as data in machine learning algorithms. -
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. -
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. -
Engineering | Geography and environmental science
Silent piling for offshore wind turbines
You will develop a novel predictive model for the 'silent' installation of open-ended piles for offshore wind turbine foundations, through advanced physical and numerical modelling. You will improve the fundamental understanding of pile installation, while developing practical tools for the offshore industry, accelerating the path to a carbon-neutral world.