Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
350 research degree projects
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Biological sciences | Photonics and optoelectronics | Engineering | Physics and astronomy
High-performance ultrafast fibre lasers for biomedical applications
This project develops high-performance ultrafast fibre lasers using advanced mode-locking, pulse compression, and power scaling techniques. Targeting applications in multiphoton microscopy, it combines cutting-edge laser physics with biological imaging. -
Photonics and optoelectronics | Engineering | Physics and astronomy | Chemistry and Chemical Engineering
Fibre laser based mid infrared sources and their applications
This project focuses on developing high-power, short-pulse fibre lasers at near-infrared wavelengths and converting them to the mid-infrared using advanced nonlinear optics. It aims to create tunable and broadband laser sources with high spectral brightness, pushing the frontiers of mid-IR laser technology for scientific, industrial, and biomedical applications. -
Photonics and optoelectronics
Ultra-stable Hollow core fibre photonics
This project will investigate how emerging new class of optical fibres, hollow-core fibres, can revolutionize highly-stable lasers and their applications including accurate time keeping, positioning, or study of Earth seismic activities. It will be carried out in collaboration with the National Physical Laboratory (NPL) in London. -
Photonics and optoelectronics | Engineering | Physics and astronomy
Integrated polysilicon photonics
This project seeks to develop a simple, low-cost laser materials processing procedure to fabricate high quality polysilicon photonic platforms that will ease issues associated with optoelectronic integration. -
Electronics and Computer Science | Engineering | Physics and astronomy
Large area 2D semiconductor platforms
Revolutionising the semiconductor industry with next generation 2D materials and devices.Moore’s Law is currently being challenged with Nvidia CEO recently claiming it is over. The scaling of transistors cannot continue due to physical limitations of silicon posing a threat to the sustainable evolution of new technologies. -
Engineering
Quantifying and measuring the travel time reliability of public transport trips
This project investigates the travel time reliability of trips involving public transport, so as to enable more accurate prediction of a traveller’s estimated time of arrival for inclusion in multi-modal journey planners. -
Engineering | Electronics and Computer Science
Predicting and preventing cyclist accidents
Cycling is an increasingly popular travel mode, but is plagued by a poor road safety record. This project will address this gap by developing technological solutions for monitoring behaviours, models for trajectory and conflict prediction, and actions and mechanisms for preventing collisions. -
Engineering | Mathematical sciences | Physics and astronomy
Rapid production of hollow spheres using coaxial nozzles
When gas flows from a coaxial nozzle surrounded by a liquid, it forms reproducible liquid shells useful in industries needing hollow spheres, such as pharmaceuticals and 3D printing. This project aims to understand and optimize production rates, reproducibility based on nozzle design and operating parameters. -
Engineering
Re-designing roads for connected and autonomous vehicles
Fully connected and autonomous vehicles are expected to become commonplace in the near future, but highway design practices are outdated and in dire need of revision. This project investigates the influence that vehicle automation could have on optimising highway design features in terms of traffic efficiency, safety and environmental sustainability. -
Engineering
Modelling the role of hard particles in hard facing alloys
Modern PWRs use hard facings which must have high wear resistance and low friction for safe operation of mechanical components. This project will look at the role of hard phases in a softer matrix to avoid high friction (galling) events and produce a predictive model.