Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
339 research degree projects
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Engineering
Machine learning methods for high energy X-ray computed tomography scatter correction
In this industry sponsored project, you will develop advanced machine learning tools to detect and remove scatter artefacts from X-ray images acquired with state of the art, high energy X-ray imaging systems, where scatter becomes the dominant source of image artefact. -
Engineering | Electronics and Computer Science | Physics and astronomy
Electrically driven quantum light sources from two-dimensional materials
This PhD project will develop reliable and cost-effective on-chip quantum light sources from foundry-compatible 2D materials. Using advanced nanofabrication and spectroscopy, the research will control strain, spin injection, and twist angles to create electrically driven, high-purity entangled single-photon emitter arrays that are crucial for photonic quantum information processing technologies. -
Physics and astronomy
Quantum levitated mechanics for GPS-denied autonomous underwater vehicle navigation
This project will focus on advancing levitated optomechanical quantum technology, specifically a levitated gradiometer, through early-stage development (TRL 1–3) for integration with autonomous underwater vehicles (AUVs). You'll explore how quantum-enhanced sensing can establish a new foundation for resilient navigation in GNSS-denied underwater environments, taking the first steps toward quantum-enabled assured Positioning, Navigation, and Timing (PNT). -
Chemistry and Chemical Engineering | Electronics and Computer Science
Large Language Models to combat digital human trafficking into terrorism
Inter-disciplinary project to develop novel Large Language Model (LLM) based AI methods for classification of Digital Human Trafficking (DHT) behaviour in social media posts. It will explore human/AI teams for information foraging tasks to deliver a step change in capability for early detection and intervention of DHT into terrorism. -
Engineering
Human-centred AI to support decision-making in defence and security
This interdisciplinary project aims to develop human-centred AI decision support to help operators of complex systems in a way that is reliable, trustworthy and maintains ‘meaningful human control’. -
Engineering | Electronics and Computer Science | Physics and astronomy
Smart structures for noise and vibration control
This PhD project will explore and develop smart structures, which integrate advanced sensing, actuation and control, with the overall aim of controlling noise and vibration in practical engineering structures prevalent in automotive, maritime and aerospace applications. -
Chemistry and Chemical Engineering | Biological sciences | Electronics and Computer Science | Physics and astronomy
Biosensing by levitated quantum optomechanics
This PhD project aims to apply frontier advancements in optomechanics to the biosensing and diagnostic fields with the goal to advance optomechanics, mass spectrometry analytics and biophysics towards clinical applications and the fundamental understanding of complex biochemical processes such as the detection of chiral molecules and their relevance for molecular functionalities. -
Engineering
Investigating a low-cost, eco-friendly coating alternative for military aircraft landing gear
This project explores an eco-friendly “flash carbide” coating for extreme wear environments in military aircraft landing gear. Through advanced tribological testing and materials damage modelling, it will benchmark this new High Velocity Air Fuel (HVAF) deposited coating against conventional High Velocity Oxy Fuel (HVOF) alternatives. The findings would benefit the aerospace industry with cost-effective, sustainable, and high-performance coating solutions. -
Chemistry and Chemical Engineering
Multi-stimuli responsive organic photoswitches for advanced encryption
Anticounterfeiting and encryption are a cornerstone of modern communication. This project will build on recent developments in the Williams lab, focussing on the development of new organic photoswitches that can respond to multiple different stimuli in order to create next-generation physical encryption methods. -
Electronics and Computer Science
Resilient trust in AI-based human-machine teaming
As of now, there are no systematic mechanism that can sustain calibrated level of trust in human-machine teams. The aim of this research is to better understand trust dynamics and build the first prototype of AI-based human-machine system that can autonomously facilitate trust resilience in various situations.