Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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243 research degree projects
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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 | Electronics and Computer Science
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. -
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. -
Photonics and optoelectronics
Amorphous nonlinear photonics for scalable next-generation optical and quantum devices
This project advances amorphous nonlinear photonics by inducing second order optical nonlinearity in amorphous thin films for broadband, on-chip modulators and quantum devices. Combining design, simulation, thermal poling, microfabrication, and characterization, it develops scalable photonic platforms for communication, sensing, and quantum technologies such as on-chip photon pair generation. -
Photonics and optoelectronics | Electronics and Computer Science | Engineering | Physics and astronomy | Mathematical sciences
Energy-efficient multicore fibre amplifiers for future submarine networks
This PhD project develops next-generation multicore fibre amplifiers for sustainable submarine networks. The research combines simulation and experiment to create energy-efficient, high-capacity amplification technologies that reduce power consumption, cost per bit, and enhance future global communication infrastructure. -
Engineering | Electronics and Computer Science | Physics and astronomy
Leveraging machine learning for design optimisation of mechanical metamaterials
The main aim of this PhD is to design advanced and novel mechanical metamaterials that can achieve high levels of noise and vibration isolation. This will be achieved through the application of machine learning and artificial intelligence methodologies to enable optimal design of these emerging noise and vibration control treatments.