PhD Studentship: Multiscale Optimisation of Aperiodic Lattice Metamaterials for Spatially-programmable Printed Structures
The University of Manchester
Application deadline: All year round This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The design of next-generation engineering materials is undergoing a paradigm shift, driven by advances in additive manufacturing and computational design. Architected lattice metamaterials—structures whose pro...
Application deadline: All year round This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The design of next-generation engineering materials is undergoing a paradigm shift, driven by advances in additive manufacturing and computational design. Architected lattice metamaterials—structures whose pro...
Opportunity details
Application deadline: All year round This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The design of next-generation engineering materials is undergoing a paradigm shift, driven by advances in additive manufacturing and computational design. Architected lattice metamaterials—structures whose properties arise from geometry rather than composition—offer unprecedented opportunities to create lightweight, high-performance systems with tailored mechanical and thermal behaviour. To date, however, most design frameworks rely on periodic unit cells, limiting the achievable performance, adaptability, and robustness of these materials. Emerging evidence suggests that aperiodic lattices—ordered yet non-repeating structures inspired by quasiperiodic tilings—can exhibit near-isotropic behaviour, enhanced damage tolerance, and superior performance under complex and uncertain loading conditions. This PhD project aims to surpass conventional periodic design by developing a new generation of multiscale optimisation tools for aperiodic lattice metamaterials. The research will integrate physics-based modelling with machine learning to enable the efficient exploration of vast design spaces defined by microarchitectures based on the mathematics of aperiodic order. By combining computational mechanics, data-driven surrogate modelling, and advanced manufacturing, the project will establish new principles for designing materials with spatially programmable properties. The successful candidate will join a rapidly evolving research area at the intersection of structural optim...
Eligibility
The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The successful candidate will join a rapidly evolving research area at the intersection of structural optimisation, materials, and artificial intelligence. The project is particularly suited to candidates motivated by fundamental challenges and eager to develop innovative solutions with real-world impact. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
Requirements
The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The successful candidate will join a rapidly evolving research area at the intersection of structural optimisation, materials, and artificial intelligence. The project is particularly suited to candidates motivated by fundamental challenges and eager to develop innovative solutions with real-world impact. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
Funding and benefits
Funding eligibility: UK Students. Funding amount: £20,780 annual tax free stipend and tuition fees.
How to apply
Application deadline: All year round This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. This is an opportunity to contribute to world-class research with the potential to transform how materials are designed for applications ranging from aerospace and energy to biomedical engineering. To apply, please contact Dr Chikwesiri Imediegwu - chikwesiri.imediegwu@manchester.ac.uk.
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Recorded source check: October 6, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.
Benefits
Funding eligibility: UK Students. Funding amount: £20,780 annual tax free stipend and tuition fees.
Eligibility summary
The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The successful candidate will join a rapidly evolving research area at the intersection of structural optimisation, materials, and artificial intelligence. The project is particularly suited to candidates motivated by fundamental challenges and eager to develop innovative solutions with real-world impact. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
Requirements
The successful candidate will receive an annual tax free stipend set at the UKRI amount (£20,780 + Tuition fees for the 2025/2026 academic year). The successful candidate will join a rapidly evolving research area at the intersection of structural optimisation, materials, and artificial intelligence. The project is particularly suited to candidates motivated by fundamental challenges and eager to develop innovative solutions with real-world impact. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.
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