Multiscale Numerical and Experimental Approaches for Materials Design and Engineering

This PhD studentship at Edinburgh Napier University, within the School of Computing, Engineering & the Built Environment, offers an opportunity to develop innovative multiscale numerical and experimental approaches for the design and engineering of composite materials and metamaterials. The project addresses the current limitations in predicting material properties—such as mechanical strength, electrical characteristics, and dynamic wave propagation—using reliable numerical methods. Traditionally, advances in materials science have relied heavily on resource-intensive experimental work. This research aims to overcome these challenges by integrating classical continuum mechanics techniques, notably the Finite Element Method (FEM), with discrete 3D modelling to simulate and analyse local material properties. A key aspect of the project is the optimisation of desired material properties using advanced evolutionary algorithms or other AI-based strategies, potentially leading to the manufacturing and experimental testing of newly optimised materials. The ideal candidate will possess a strong background in solid mechanics, elasticity theory, solid body dynamics, wave mechanics, plasticity, fracture mechanics, and numerical methods (especially FEM). Experience in programming (Python, FORTRAN, ANSYS APDL, C++) is essential, as the project involves significant code development. Additional desirable skills include familiarity with 3D printing technologies, probability, discrete mathematics, and evolutionary algorithms or AI. Applicants must hold a first class degree (minimum 2:1) in Solid Mechanics or Applied Mathematics and demonstrate proficiency in English (IELTS 6.5 overall, no component below 6.0, or equivalent). The studentship covers full UK or international tuition fees and provides a standard living allowance at the RCUK rate (£21,383 per annum, subject to annual increase). International applicants should note that visa application costs and the NHS health surcharge are not included. The application process requires submission of a completed form (quoting reference SCEBE1125), CV, two academic references, a two-page research project outline, a one-page motivation statement, and evidence of English proficiency if applicable. The project is supervised by Professor Vladimir Bratov and Professor I Shyha. The studentship is set to begin in October 2026, with the application deadline on 9th January 2026. For informal enquiries, prospective applicants are encouraged to contact Prof Bratov at [email protected]. Further details and application guidance are available on the university’s website.