Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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248 research degree projects
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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. -
Electronics and Computer Science
Symmetry-restricted quantum parameterised circuit generative models
Recognising patterns in data to simulate their distributions is a machine learning task that can be enhanced by generating measurement samples from quantum states that are suitably prepared by parameterised quantum circuits. By exploiting symmetry properties, the project will build efficient quantum generative models that have a wide range of applications. -
Photonics and optoelectronics | Chemistry and Chemical Engineering | Engineering | Physics and astronomy
Low-loss mid-infrared microstructured optical fibers
Mid-infrared (MIR) optical fibers are critical for applications such as environmental monitoring, biomedical diagnostics and chemical sensing. This project aims to develop low-loss MIR microstructured optical fibers (MOFs) for efficient light transmission in MIR spectral region (2–20 µm). -
Engineering | Mathematical sciences | Physics and astronomy
The fluid mechanics of plastic pollutants and other particle-fluid interactions
Consider a major global environmental issue. Perhaps you thought about ocean plastic pollution, air pollution, or sea level rise leading to coastal erosion. In this project, you will contribute to this goal through experimental, theoretical, numerical, or combined approaches, depending on your skills and interests. -
Electronics and Computer Science | Engineering | Physics and astronomy
Event-based computing for real-time computer vision systems
This PhD project develops ultra-low power, DVS-free computer vision hardware by creating event-based chips using nanofabrication. The work spans chip building, signal encoding, and real-world system demonstration, aiming to replace costly DVS cameras and enable fast, efficient AI image processing with conventional cameras. Techniques include lithography, circuit simulation, and FPGA implementation. -
Electronics and Computer Science
Biometric recognition systems with artificial intelligence techniques
Machine learning as well as deep learning techniques are employed in this project to design novel biometric recognition systems. Biometrics included in this type of study are: Face, Face profile, Ear, Iris, Gait, Palmprint, Fingerprint and body shape. -
Photonics and optoelectronics
A new frontier in distributed temperature sensing in hollow-core fibres
Imagine measuring temperature along 200 km of optical fibre with unprecedented precision, even in extreme environments. This project pioneers Rayleigh-based distributed temperature sensing in hollow-core fibres, enabling breakthroughs in monitoring subsea cables, wind farms, and nuclear systems, while combining simulation, experimentation, and cutting-edge optical technologies.