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Zahra Sharif Khodaei

Top university

3 months ago

PhD Studentship in Aeronautics: Developing a Digital Twin for Composite Pressure Tanks Imperial College London in United Kingdom

Degree Level

PhD

Field of study

not provided

Funding

Available

Deadline

Expired

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Country

United Kingdom

University

Imperial College London

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About this position

[Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students.] This PhD studentship at Imperial College London focuses on developing a digital twin for composite pressure tanks used in hydrogen storage for aviation. Hydrogen fuel is a promising alternative to fossil fuels, but its adoption in aircraft is hindered by storage challenges, including the need for lightweight, robust composite tanks that can withstand high pressures, cyclic loading, and long-term degradation. The project aims to address these issues by advancing Structural Health Monitoring (SHM) and Digital Twinning (DT) technologies. SHM will provide real-time insights into tank condition, using methods such as acoustic emission to detect early signs of damage, leaks, or degradation. The digital twin will integrate physical models, sensor data, computational methods, and concepts from damage and fracture mechanics, enabling predictive maintenance and lifetime assessment. The research will leverage machine learning to enhance the accuracy and utility of the digital twin, ultimately improving safety, reliability, and design optimization for hydrogen-powered aviation. The successful candidate will gain expertise in computational mechanics, SHM, and machine learning, with a focus on fundamental research that can impact diverse fields. The studentship is fully funded for 3.5 years, covering tuition fees and providing a tax-free stipend of £22,780 per year for Home, EU, and International students. Applicants must hold or expect to hold a First class honours MEng/MSci or equivalent in Aeronautics or Mechanical Engineering, with strong skills in structural mechanics and computational methods. Familiarity with machine learning and SHM is desirable. The application process involves submitting a CV, transcripts, and a motivation statement, followed by supervisor review and further instructions for formal application. Imperial College London is committed to equality, diversity, and inclusion, supporting a welcoming environment for all students.

Funding details

Available

What's required

Applicants must have achieved or expect to achieve a First class honours MEng/MSci or higher degree (or international equivalent) in Engineering (Aeronautics or Mechanical Engineering). A strong background in structural mechanics and computational methods is essential, and familiarity with machine learning and structural health monitoring is desired. Candidates must be highly motivated to undertake fundamental research that is mathematical in nature.

How to apply

Submit a 2-page CV, transcripts, and a 300-word motivation statement via the Supervisor Review Form by 8 January 2026. Supervisors will review applications and long-list candidates. Long-listed candidates will receive further instructions and an application link via email to formally apply.

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