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Ping Xiao

Professor at EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute

The University of Manchester

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United Kingdom

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Research Interests

Materials Chemistry

90%

Condensed Matter Physics

60%

Materials Science

50%

High-temperature Materials

50%

Thin Film Deposition

30%

Alloy Chemistry

20%

Sintering

20%

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Positions1

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Ping Xiao

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The University of Manchester

High-throughput Making, Characterising and Testing of Environmental Barrier Coatings for Data-Centric Innovation (PhD)

This fully funded PhD opportunity at The University of Manchester, in partnership with the Henry Royce Institute and Rolls-Royce, focuses on the rapid development and optimisation of environmental barrier coatings (EBCs) for ceramic matrix composite (CMC) components in next-generation aero-engines. The project is part of cohort 3 of the EPSRC CDT in Developing National Capability for Materials 4.0, offering a unique interdisciplinary research environment and industrial collaboration. Silicon carbide-based ceramic matrix composites (SiC-SiC CMCs) are revolutionising aeroengine design by replacing traditional nickel-based superalloys, thanks to their superior high-temperature mechanical properties and significantly lower density. However, these advanced materials require robust EBCs to protect against steam corrosion in the harsh gas-turbine environment. Without effective EBCs, CMC components degrade rapidly, limiting their operational lifespan. Current state-of-the-art EBCs use ytterbium disilicate applied via air plasma spraying (APS), but this project will explore electrophoretic deposition (EPD) as a cost-effective, versatile alternative that allows precise control over coating chemistry and microstructure. Led by Professors Ping Xiao and Philip Withers, the research will build on recent advances in EPD of ytterbium disilicates, developed at Manchester, to manufacture EBCs with superior performance compared to APS coatings. The student will develop high-throughput methods for making, characterising, and testing a wide range of EBC compositions and powders, enabling a data-centric approach to materials innovation. Fast characterisation and mechanical testing techniques will be established to support rapid screening and optimisation. A key aspect of the project is the integration of digital twinning and machine learning to model the relationships between EPD processing conditions, microstructural features, mechanical behaviour, and overall coating performance. This approach aims to accelerate the discovery of optimal formulations and processing parameters, setting new standards for the development of advanced coatings in aerospace and beyond. The successful candidate will join a large, collaborative research team and work closely with Rolls-Royce, gaining exposure to industrial challenges and cutting-edge materials research. The studentship covers full tuition fees (for both home and international students), a tax-free stipend of at least £20,780, London allowance if applicable, and a research training support grant. Up to 30% of studentships are available to outstanding international applicants, and early applications are encouraged. Applicants should have a strong background in materials science, chemical engineering, mechanical engineering, chemistry, or a related field. Experience with experimental research, data analysis, or machine learning is advantageous. The CDT is committed to equality, diversity, and inclusion, and welcomes applications from underrepresented groups. To apply, visit the University of Manchester postgraduate application portal, select Postgraduate Research, the 2026/27 academic year, and CDT in Materials 4.0. For technical queries, contact Prof Ping Xiao at [email protected]. For general enquiries, email [email protected]. The application deadline is March 3, 2026. For further reading, see the related publication: https://www.sciencedirect.com/science/article/pii/S0010938X25001805 .

1 week ago

Articles10

Collaborators5

Esma Yılmaz

The University of Manchester

UNITED KINGDOM

Ying Chen

The University of Manchester

UNITED KINGDOM

Xun Zhang

The University of Manchester

UNITED KINGDOM

Hui Lu

The University of Manchester

UNITED KINGDOM

Ahmet Hilmi Paksoy

The University of Manchester

UNITED KINGDOM