PhD Studentship in Aeronautics: Parallel Adaptive Multi-physics Simulations (AE0097)

PhD Studentship in Aeronautics: Parallel Adaptive Multi-physics Simulations (AE0097)

Full-Time On-site
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Start date:

Between 1st August 2027 and 1st July 2028

Application deadline:

23:59 on 4th January 2027 (UK time)

Introduction:

This research will be carried out within the framework of the REMODEL project that addresses the difficulty of generating and adapting high-quality meshes for complex engineering simulations on exascale and heterogeneous high-performance computing systems.

The PhD research will contribute to the development of:

  • Automatic adaptive mesh generation methods for multi-physics and time-dependent simulations.
  • Strategies for coupling multi-physics solvers with mesh adaptation in a parallel HPC environment.
  • Efficient algorithms in heterogeneous CPU–GPU and exascale computing architectures.
  • Integrated, high-fidelity simulation workflows for industrial applications.
  • Methods for sensitivity assessment of multi-physics simulations to geometric features and mesh resolution.

You will work with open-source and research tools developed within the Nektar++ research group. You will also gain experience applying your methods to realistic industrial demonstrators, and develop expertise in computational geometry, mesh generation, adaptive meshing, parallel algorithms, high-performance and exascale computing, and multi-physics simulations.

Professional development opportunities include:

  • Cross-institutional mentoring and collaboration with leading academic researchers and industrial partners.
  • Opportunities to present findings at conferences, workshops and seminars, and to publish in high-quality journals.
  • Experience in open-source software development, technical documentation, webinars, industrial demonstrations and public engagement.
  • Engagement in interdisciplinary collaboration and the translation of research into industrial applications.

Supervisors:

Prof. Spencer Sherwin; Prof. Joaquim Peiro; Dr. Chris Cantwell

Duration:

3.5 years.

Funding:

Full coverage of tuition fees and an annual tax-free stipend of £23,805 for Home, EU and International students. Find out more about fee status.

Eligibility:

Due to the competitive nature of our studentships, candidates will be expected to achieve/have achieved a First class honours MEng/MSci or higher degree (or international equivalent) in: Aeronautical Engineering, Mechanical Engineering or a related engineering discipline.

We are looking for a student with: good background knowledge on CFD/Meshing techniques; Proficiency in software development using high-level programming languages, ideally in a HPC environment; Creative approach to problem-solving; Excellent verbal and written communication skills.

Contact:

For more specific project information, email: Prof. Spencer Sherwin; Prof. Joaquim Peiro; or Dr Chris Cantwell

For admissions questions, please first read our Frequently Asked Questions. If your question has not been answered, please email the PhD Administrator (Admissions)

Frequently Asked Questions

You can also find answers to common application questions on our Frequently Asked Questions.

Equality, Diversity and Inclusion:

Imperial is committed to equality and valuing diversity. We are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employerand are working in partnership with GIRES to promote respect for trans people.

£23,805 - please see advert

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PhD Studentship in Aeronautics: Parallel Adaptive Multi-physics Simulations (AE0097) employer: Imperial College London

Imperial College London is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the International Relations Office. Employees benefit from professional growth opportunities, a commitment to diversity, and the chance to engage in meaningful projects that have a global impact, all set in the heart of one of the world's leading academic institutions.

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Contact Details:

Imperial College London Recruitment Team