Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
344 research degree projects
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Electronics and Computer Science
Spatiotemporal superconducting metasurfaces for next-generation quantum technologies
The aim of this project is to design and pioneer groundbreaking space-time-modulated superconducting metasurfaces to overcome critical quantum computing limitations. This experimental-theoretical PhD will develop dynamic metasurfaces that enable all-to-all qubit connectivity, significantly enhance coherence, and suppress decoherence in next-generation quantum processors, working at the frontier of quantum technologies, quantum computing and electromagnetic engineering. -
Photonics and optoelectronics
Nonlinear photonics for quantum technologies
Nonlinear parametric photonics creates an interface between light and the atoms/ions and detectors used in quantum systems. This project combines novel fabrication approaches for nonlinear waveguides with established commercial materials to expand their operation into the ultra-violet and mid-infrared wavelength regions for use in practical quantum systems. -
Engineering
Design and characterisation of advanced composite materials for liquid hydrogen storage at cryogenic temperatures
This project investigates the fracture behaviour and structural integrity of composite cryogenic vessels for liquid hydrogen storage in aerospace applications. Combining low-temperature experimental testing with multiscale numerical modelling, the project aims to develop predictive tools for damage evolution and residual strength, supporting the design of lightweight, safe, and efficient zero-emission aircraft structures. -
Photonics and optoelectronics
Picophotonics: the science of light-matter interactions at sub-nanometre scale
Optical imaging and metrology techniques now routinely break the classical diffraction limit on resolution. This project will reach further still: leveraging recent advances in the subwavelength structure of light fields, metamaterials, information theory and artificial intelligence to achieve sub-nanometric (atomic scale!) optical measurement precision. -
Engineering
Large-scale active noise and vibration control system design
The main aim of this research project is to develop novel methods that enable active noise and vibration control systems to be applied more efficiently and effectively to large-scale industrial installations. This research will overcome challenges related to the practical system integration through intelligent algorithm design. -
Engineering
AI-based modelling of perforated surfaces in complex flows for noise control
This project uses physics-informed machine learning to model how perforated surfaces contribute to noise reduction in complex flows. You’ll develop a fundamental understanding and predictive tools to advance noise-control design for transport and HAVC systems, translating advanced AI modelling into practical engineering solutions. -
Photonics and optoelectronics
Miniaturised mid-infrared photonic systems for gas detection and mapping
This project explores compact mid-infrared (mid-IR) LiDAR systems for gas sensing. You’ll design and prototype photonic devices that detect and map trace gases using their unique infrared fingerprints. -
Photonics and optoelectronics
Optoelectronic topological metasurfaces for light control
Recent developments in quantum materials and topological design principles are transforming the way we control the flow of light and charges. This project will develop nanostructured metasurfaces where optical and electronic functionalities build upon the fields’ vectorial nature and are codesigned, for a new generation of light-emitting and detecting optoelectronic (meta)devices. -
Photonics and optoelectronics
Assessing regional economic impact of technology adoption and diffusion
The project will investigate how technology adoption and diffusion shape regional economic growth and inequality. It will integrate econometric modelling, spatial analysis, and case studies to assess productivity, employment, and innovation effects. The research will aim to inform policies that enhance inclusive regional development and sustainable technological transformation across diverse economies. -
Engineering
Integrating novel ground investigation techniques for efficient wind farm foundation design
Recent advances in geophysical site surveying and machine learning have enabled the generation of synthetic Cone Penetration Test (CPT) data at arbitrary locations in a potential wind farm. In this project, you will gain skills and undertake research to unlock the potential of these valuable tools for efficient foundation design.