Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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254 research degree projects
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Engineering
Rapid alloy discovery and characterisation of additively manufactured Type 316 stainless steel and its advanced variants
This project aims to accelerate bulk alloy discovery for additive manufacturing by leveraging smart design and 3D printing of material libraries to dramatically increase the throughput of characterisation and testing. Integrated with AI-assisted workflows, the project will streamline data curation and enable rapid exploration of structural material systems. -
Engineering
Closed-loop design of heat-resistant austenitic alloys through iterative machine learning and combinatorial approaches
This PhD project aims to accelerate the discovery of heat-resistant austenitic alloys by integrating machine learning with high-throughput combinatorial experiments. Through iterative design, synthesis, and validation, the project will develop advanced materials for high-temperature reactors, significantly reducing alloy development time and enhancing structural integrity under creep-fatigue conditions. -
Engineering
Multi-physics simulation of hypersonic thermal structures
The extreme temperature environment around a hypersonic vehicle can presently not be simulated accurately. This project will close this gap by coupling a non-equilibrium, real-gas shock-capturing fluid solver in our AMROC/VTF framework to a general-purpose solver for solid heat conduction and surface radiation. Verification and validation cases will be studied. -
Engineering
Accelerated creep-fatigue qualification through high-throughput testing and data fusion
Traditional approaches to metallic materials innovation against creep-fatigue rely on extensive physical testing which is currently conducted in a sequential, low-throughput manner. This project aims to develop a high-throughput creep-fatigue qualification protocol by integrating full-field imaging techniques with meso- and small-scale testing, to faithfully capture design-relevant properties for fusion energy. -
Engineering
Virtual testing and design of additively manufactured lattice metamaterials
This project is in the emerging field of design of advanced materials. It aims to facilitate applications of lattice metamaterials through development of computational material characterization tools. These tools will enable the formulation of design strategies, guidelines, and methods as a long-term objective. -
Electronics and computer science | Engineering
Development of a low-cost wearable system for respiration monitoring using near-infrared spectroscopy (NIRS)
Respiratory diseases develop progressively. However, current monitoring methods are unsuitable for long-term continuous monitoring. Near-infrared spectroscopy (NIRS) uses light to interrogate the optical properties of tissue. This project aims to develop a wearable system for long-term respiration monitoring using NIRS powered by artificial intelligence (AI) to aid in analysis. -
Engineering
Stacked Intelligent Metasurface (SIM) for Orthogonal Time Frequency Space (OTFS)
This project will explore the combination of Stacked Intelligent Metasurfaces (SIM) and Orthogonal Time Frequency Space (OTFS) in the next-generation Space-Air-Ground Integrated Network (SAGIN). -
Engineering | Physics and astronomy
Visible Light Integrated Sensing and Communication (VL-ISAC)
Imagine a world where there is Internet access and radar-assisted living and quantum security, wherever there is light. The objective of this project is to implement Integrated Sensing and Communication (ISAC) in visible light bands. -
Engineering | Mathematical sciences | Ocean and earth science
Ultrasonic gas leak localisation and characterisation in complex environments
This PhD project will develop advanced ultrasonic array techniques for hydrogen leak detection, localisation and characterisation in complex, noisy environments. Combining mathematical modelling and physics-informed signal processing with AI-driven methods (including PINNs), the research aims to enhance robust, cost-effective leak detection with industrial applications on complex sites. -
Chemistry | Engineering
Advancing membrane electrochemical systems for sustainable resource recovery and CO? capture
This project will develop an integrated membrane electrochemical system (MES) for efficient lithium separation and CO? capture. By combining advanced membrane materials development with electrochemical process design and optimisation, it aims to deliver a transformative solution for sustainable resource recovery and carbon management.