Start Date: July 2025 (Flexible)
Introduction: These two positions are related to a project funded by the EPSRC, involving various partners such as NASA, Airbus and Rolls-Royce. The objective is to develop numerical methods which will underpin the efficient structural simulation of original aircraft configurations, such as those we will progressively encounter as we move to alternative fuels in aviation. It is intended that these numerical methods will additionally increase the role of simulation for certification purposes, hence further accelerating the design of new aircraft.
The post-holders will be part of a team which also includes 2 PDRA all working on this project, as well as the supervisor, Prof. Pinho. Visits to NASA, Airbus and other project partners are planned within the project, as well as deployment of the software at Airbus and validation against real test data, part of Airbus’s Wing of Tomorrow project. There will also be opportunities to participate in the supervision of Master’s projects.
Objectives: The posts will involve using the Finite Element Method, Artificial Intelligence and Uncertainty Quantification, and will require programming using Python and C++ (e.g. user elements, user materials, surrogate models, among others). The software created will be made publicly available under a BSD-3 licence, so it achieves maximum impact. It is expected that various journal and conference publications will result from this work.
Supervisors: Prof. Silvestre Pinho, Professor in Mechanics of Composites
Learning outcomes: You will gain experience in:
- Numerical simulation using the finite element method;
- Machine Learning;
- Uncertainty quantification;
- Professional Programming Standards; and
- Aircraft design and certification.
Professional Development: You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researchers Institute.
Duration: 3.5 years
Funding: Full coverage of tuition fees and an annual tax-free stipend of £21,237 for Home students. Information on fee status can be found on our Fees and Funding webpages.
Eligibility: You should have a strong background in solid mechanics, the finite element method and programming, with experience in artificial intelligence, uncertainty quantification and aircraft design being an advantage.
Applications are invited from candidates who possess (or expect to gain) a first-class honours MEng or higher degree or equivalent in Aeronautics, Mechanical Engineering, Computing or related areas.
How to apply: Submit your application on our Apply webpage. When submitting your application, you will need to use the following details:
- Search course/Programme: Aeronautics Research (PhD)
- Research Topic: Please use reference number AE0065
- Research Supervisor: Prof. Silvestre Pinho
- Research Group: Aero
For further information: For questions about the project, please email Prof. Silvestre Pinho: silvestre.pinho@imperial.ac.uk
For queries regarding the application process, please contact Lisa Kelly at: l.kelly@imperial.ac.uk
Application deadline: Until filled
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 Employer and are working in partnership with GIRES to promote respect for trans people.
PhD Contacts
PhD Administrator (Admissions)
Ms Lisa Kelly
l.kelly@imperial.ac.uk
PhD Administrator (On-course)
Ms Clodagh Li
c.li@imperial.ac.uk
Director of Postgraduate Studies (PhD)
Dr Chris Cantwell
c.cantwell@imperial.ac.uk
Senior Tutor for Postgraduate Research
Prof Joaquim Peiro
j.peiro@imperial.ac.uk
PhD Reps
Charlie Aveline (ca1119@ic.ac.uk)
Toby Bryce-Smith (tb1416@ic.ac.uk)
Katya Goodwin (yg7118@ic.ac.uk)
Paulina Gordina (pg919@ic.ac.uk)