Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
Systems where coherence establishes spontaneously, such as lasers, Bose-Einstein condensates, superradiant emitters and time crystals, are important for classical and quantum technologies. Photonic metamaterials/metasurfaces are ideal platforms to foster the emergence of coherent phenomena. This project will study how coupling between nanostructures can mediate coherence and enable future photonic devices.
Just as starlight falling on the surface of the Earth twinkles when affected by atmospheric turbulence, so too do optical communication signals transmitted from an orbiting satellite to a ground-station. In this project, you will design and fabricate photonic lantern-based turbulence mitigation systems to enable the next-generation of lasercom.
This project explores the development of a Multimodal Large Language Model that empowers robots to understand and respond to humans through vision, language, and other sensory data. By enabling natural, adaptive, and context-aware communication, the research advances the next generation of intelligent, human-centered robotic systems.
Hollow-core fibres are transforming applications in communications, sensing, and high-power laser delivery. The aim of this project is to study the fundamental reactions that control the stability and lifetime of hollow-core optical fibres, fibres that guide light through air instead of solid glass.
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.
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.
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.
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.
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.