FindA University Ltd Featured PhD Programmes
University of Sheffield Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
FindA University Ltd Featured PhD Programmes

Intelligent Computational Methods for Advanced Composites

Project Description

The structural integrity group in the Aeronautics department ( is dedicated to improving integrity of engineering components and structures used in aerospace and other safety-critical industries. The focus of the group is on developing mathematical and computational models supported through laboratory testing to improve performance, durability and safety of operations. Structural Health Monitoring (SHM) has been identified as a key technology in damage tolerance design for the next generation of composite aircraft. Furthermore, we consider structural integrity assessment as an important part of robustness, reliability and economics of operation of structures.

The group have pioneered methodologies for modelling material degradation, cracking and failure of both metallic and composite materials using different computational tools such as Finite element, boundary element and meshless methods.

The PhD studentship will contribute to the ongoing research on the development of computational tools for the design of composite parts. Artificial and machine learning techniques are encouraged to be utilized. The students will be sponsored by an EU project with the focus of computational methods for complex composite parts. The range of topics on offer include:
• Structural health monitoring -
• Structural Integrity and failure analysis -
• Computational mechanics -
• Structural reliability and Optimization -


Only the very best students will be considered for this position. Candidates should have (or expect to obtain) a good upper class or first class honours degree (or equivalent) in aeronautics or similar engineering disciplines. Strong background in numerical analysis (non-linear, dynamic) and excellent analytical and experimental skills are required. Programming experience is an advantage (e.g. Fortran, C++, Matlab, Python).

Start date: 1st October 2019


Interested applicants should make initial informal enquiries via email to Dr Zahra Sharif Khodaei ( ) and Professor M.H. Aliabadi () then follow the standard College online application procedure (

For queries regarding the application process, please contact Ms Lisa Kelly by email to: or phone on +44(0)20 7594 5056.

Committed to equality and valuing diversity. We are also an Athena Bronze SWAN Award winner, a Stonewall Diversity Champion and a Two Tick Employer.

Funding Notes

Funding is available only to UK citizens and EU citizens who have resided in the UK for the past three years. The studentship is for 3 years and will provide full coverage of tuition fees and an annual tax-free stipend of approximately £20,000.

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