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
AI-generated content detection and localization
In a world increasingly dominated by AI-generated content, this PhD project will research advanced AI methodologies for detection and localization of manipulated imagery. You’ll push the frontiers of computer vision and data forensics, creating tools that strengthen digital authenticity, security, and global trust in visual information. -
Engineering
Investigation of thermoacoustic instabilities of hydrogen flames
Hydrogen offers a clean route to decarbonise aviation, but its flames can be prone to thermoacoustic instabilities, which are undesirable in aviation engines. This project investigates these instabilities in hydrogen jets-in-crossflow, an important configuration for efficient mixing and stable low-carbon combustion. -
Engineering
Development of memristor artificial synapses for neurorehabilitation
This project aims to develop next-generation mind-controlled prosthetics and exoskeletons using memristor-based neuromorphic interfaces that emulate human synapses. You'll design, nanofabricate, and characterize these artificial synapses, establishing the foundational building blocks for advanced neurorehabilitation technologies -
Engineering
Physics informed neural networks as an environmentally friendly alternative to CFD
Physics-Informed Neural Networks (PINNs) provide an innovative, efficient alternative to traditional methods employed in fluid dynamics simulations, delivering Computational Fluid Dynamics (CFD)-level of accuracy at significantly lower computational costs, thus reducing energy use and benefiting the environment. -
Electronics and Computer Science | Engineering
Brain-inspired security primitive for secure hardware in space
Memristors mimic how the brain learns—offering low-cost, secure, and energy-efficient computing. This PhD tackles challenges limiting their adoption, from ageing to variability, to create unforgeable, self-identifying chips. -
Photonics and optoelectronics | Engineering | Physics and astronomy | Geography and environmental science
Material platforms for low-loss photonic integration in the UV-VIS spectrum
Explore advanced material platforms for UV-VIS photonic integrated circuits. This project will develop low-loss waveguides using wide band-gap materials, enabling breakthroughs in biomedical sensing, environmental monitoring, and compact light engines for high-resolution displays. -
Photonics and optoelectronics | Engineering
Modulation-enabled silicon photonics for RGB light engines
Join a cutting-edge project developing silicon photonic integrated circuits for Red, Green, and Blue (RGB) light modulation. You will explore novel approaches to control visible light on-chip, contributing to future technologies in displays, sensing, and optical communications. -
Engineering
Improving understanding of the inner ear using otoacoustic emissions
This project aims to test our theories of cochlea processes by measuring sounds generated within the cochlea and comparing the results with theoretical predictions. The cochlea generates low-level sounds (otoacoustic emissions) in response to sound stimulation. Novel stimuli will be used to assess the generation mechanisms. -
Electronics and Computer Science | Engineering | Photonics and optoelectronics
Optoelectronic AI processors for cryogenic and space electronics
This PhD project aims to develop error-tolerant AI processors for cryogenic and space electronics using optomemristor technology, which mimics neural networks and offers ultra-fast, low-power computing. Collaboration with Von Ardenne GmbH provides industrial insights into material processing and photonic integration for advanced chip design. -
Photonics and optoelectronics | Chemistry and Chemical Engineering | Engineering | Physics and astronomy
Mid-infrared nonlinear effect and devices based on soft-glass optical fibers
Current nonlinear fiber optic devices mainly focus on the visible and near-infrared bands. The project focuses on the development of mid-infrared (MIR) nonlinear optics and integrated nonlinear devices using soft-glass optical fibers to achieve efficient light generation and manipulation in the 2–20 µm spectral region.