Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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210 research degree projects
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Electronics and Computer Science
Verification of neuro-cyber-physical systems
Formal verification of neuro-symbolic cyber-physical systems, such as drones, medical devices and robots, is complicated. Neural components must be trained to be optimal with respect to the available data as well as the safety specifications, and then verified using specialised solvers. -
Photonics and optoelectronics | Mathematical sciences | Physics and astronomy | Engineering | Electronics and Computer Science
On-chip topological photonics
This project will be designing and building topological photonic crystals on silicon chips, aiming to promote important applications such as optical imaging, sensing, and computing. -
Photonics and optoelectronics | Mathematical sciences | Physics and astronomy | Engineering
Non-Hermitian topological physics
This project will be focusing on the research on non-Hermitian topological physics. Frontier research topics of exceptional point/surfaces, non-Hermitian skin effect, and catastrophe theory will be pursued. -
Photonics and optoelectronics | Mathematical sciences | Physics and astronomy | Engineering
Topological photonic quasicrystals
This project will explore the use of photonic quasicrystals in building higher-dimensional topological phases. The research covers the mathematical framework development, photonic quasicrystals design, energy band calculation, sample fabrication, and experimental characterization. -
Electronics and Computer Science
Redefining in-network computing for compute-native 6G networks
6G networks will be compute-native, evolving from packet-forwarding infrastructures into distributed in-network computing platforms. This project seeks to extend the limits of in-network computing by redefining what computation can be performed within the network data path, and how such capabilities can be coordinated across edge and core networks. -
Engineering
Acoustic array and physics-informed AI for hydrogen leak detection and localisation
This project aims to merge state-of-the-art acoustics, physics-based modelling, and cutting-edge artificial intelligence (AI) to advance hydrogen leak detection in complex environments. It drives innovation at the intersection of applied mathematics, physics, machine learning, and clean energy. -
Physics and astronomy
Quantum technologies for GNSS-denied navigation: a quantum inertial navigation sensor simulator
Quantum sensors may permit long-range navigation when satellite systems cannot be used. This project will develop a quantum inertial sensor simulator, built around experimentally validated computational models, to provide real-time simulated data from actual motions, so that navigation engineers can explore quantum integration ahead of real quantum device availability. -
Engineering
Cargo bikes as a vehicle for transport equity
Cargo bikes are promoted as a sustainable alternative to car-based travel, but their use as care infrastructure in a family setting is under-explored. This project seeks to investigate how these technologies function within family contexts and how their use may shape everyday mobility practices, children’s experiences, and transport equity. -
Electronics and Computer Science
Secure and trustworthy AI for autonomous vehicle ecosystems
This project develops AI-enhanced threat-modelling techniques to improve the cybersecurity and resilience of autonomous vehicles. It analyses vulnerabilities in AI-driven sensing and decision systems, models complex adversarial interactions, and designs adaptive detection and mitigation strategies, with applicability to other safety-critical domains. -
Engineering
Modelling of liquid-fuelled rotating detonation engines for gas-turbine applications
Using a rotating detonation engine (RDE) as gas turbine combustion chamber could increase engine efficiency dramatically. This project will implement two-phase flow and spray combustion modelling into our in-house dynamically adaptive RDE code to quantify the potential of RDE-based jet engines by massively parallel computational fluid dynamics (CFD) simulations.