Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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241 research degree projects
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Electronics and Computer Science | Engineering | Physics and astronomy
Event-based computing for real-time computer vision systems
This PhD project develops ultra-low power, DVS-free computer vision hardware by creating event-based chips using nanofabrication. The work spans chip building, signal encoding, and real-world system demonstration, aiming to replace costly DVS cameras and enable fast, efficient AI image processing with conventional cameras. Techniques include lithography, circuit simulation, and FPGA implementation. -
Electronics and Computer Science
Biometric recognition systems with artificial intelligence techniques
Machine learning as well as deep learning techniques are employed in this project to design novel biometric recognition systems. Biometrics included in this type of study are: Face, Face profile, Ear, Iris, Gait, Palmprint, Fingerprint and body shape. -
Photonics and optoelectronics
A new frontier in distributed temperature sensing in hollow-core fibres
Imagine measuring temperature along 200 km of optical fibre with unprecedented precision, even in extreme environments. This project pioneers Rayleigh-based distributed temperature sensing in hollow-core fibres, enabling breakthroughs in monitoring subsea cables, wind farms, and nuclear systems, while combining simulation, experimentation, and cutting-edge optical technologies. -
Electronics and Computer Science
Artificial intelligence techniques for illness detection by using MRI
Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using Artificial Intelligence techniques, HIE disease is diagnosed much earlier than two years which is the current normal practice in hospitals. As a result of HIE early detection, then early interventions can be applied to improve the babies health. -
Photonics and optoelectronics
Low-noise fibre lasers for next-generation quantum systems
This project will pioneer ultra-stable, low-noise fibre lasers engineering for next-generation quantum technologies. By combining innovative cavity design, thermal control, and frequency stabilization, you'll develop compact, high-performance laser systems crucial for quantum sensing, secure communications, and advanced photonic computing platforms. -
Engineering
Turbulent boundary layers in realistic conditions
This project aims to carry out state-of-the-art experiments to generate new data that will transform our understanding and predictive approaches for turbulent boundary layers in realistic conditions. Understanding and modelling these flows are increasingly important for innovative technologies in transportation, energy, and environmental sectors. -
Photonics and optoelectronics
Optoelectronic backplane for computing and quantum applications
The aim of this project is to build the next generation of optical backbone for artificial intelligence (AI) hardware, computing and quantum technologies. You’ll design, fabricate and test silicon photonic circuits for ultra-fast data-links, gaining hands-on experience in cleanroom processes, simulation and characterisation within a world-leading silicon photonics group and in collaboration with industry partners. -
Engineering
Using vibration to explore human balance function
A well functioning balance (vestibular) system is essential for everyday life. When illnesses affect vestibular function it can be very disabling. This project aims to use world leading vibration test facilities to apply controlled motions to humans with the aim to test and improving understanding of the human balance system. -
Electronics and Computer Science
Adversarial defence for Large Language Models (LLMs)
Large Language Models (LLMs) are powerful but can be tricked - Adversarial Defence protects them. You will improve LLM robustness to prompt-based attack or jailbreaking, exploring novel algorithms for adversarial defence inspired by recent success of adversarial pre-prompt training, reinforcement learning from human feedback (RLHF) and adding safety layers to LLM architectures. -
Electronics and Computer Science
Metasurface technology for next-generation automotive sensing and 3D facial recognition
This project will develop metasurface-engineered optical systems for next-generation automotive and biometric sensing. It combines advanced nanofabrication, machine learning-driven optical design, and international collaboration with NTU Singapore and MIT to push metasurface technologies toward real-world commercialisation.