Multi-scale Modelling and Simulation of Bio-Inspired Structures Kingston University in United Kingdom

This PhD project at Kingston University focuses on the multi-scale modelling and simulation of bio-inspired structures, drawing inspiration from the diversity and adaptability found in nature. The research aims to develop a comprehensive computational framework to optimise the form and function of bio-inspired engineering structures, bridging the gap between internal material architecture and mechanical performance. Through a combination of advanced numerical simulations and experimental validation in collaboration with research partners, the project seeks to deepen understanding of the mechanisms that govern the relationship between structure and function in biomaterials.

Applicants will engage in cutting-edge research at the Faculty of Engineering, Computing and the Environment, leveraging state-of-the-art computational tools and experimental techniques. The project is well-suited for candidates with a strong background in solid mechanics, biomaterials, materials engineering, or related disciplines, and who possess expertise in advanced structural and material modelling. The research environment offers opportunities for interdisciplinary collaboration and access to the latest resources in biomedical engineering and tissue engineering.

Funding for this position is available through the Graduate School studentships competition for October 2026 entry, providing support for tuition and research activities. Interested candidates should prepare a comprehensive application, including a cover letter detailing their background and motivation, a CV, and a publication record if applicable. Applications should be submitted as a single PDF file to Dr Payam Khazaeinejad. For further information on funding and application procedures, candidates are encouraged to consult the Kingston University PhD Studentships webpage and the Faculty research site.

The application deadline is March 4, 2026. This opportunity is ideal for motivated individuals seeking to advance their expertise in computational modelling, materials science, and biomedical engineering within a dynamic and supportive academic setting.