Aeroengine oil systems computational fluid dynamics
Applications are invited for a fully funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase computational fluid dynamics (CFD). This is an exciting opportunity to contribute to cutting-edge research that supports the next generation of sustainable aeroengines.
You will join a supportive team of 50 researchers, technicians, and academics within the Mechanical and Aerospace Systems research group and will have the opportunity to apply your research during a placement within Rolls-Royce.
Project overview
The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower-order predictive models. You will gain hands-on experience in industrial applications including practical aspects of aeroengine oil system design, spending part of your PhD based on-site at Rolls-Royce as well as receiving joint supervision and training from both the university and industry professionals.
PhD start date: 1 October 2026
Candidate requirements
We are seeking an enthusiastic, self-motivated researcher with a rigorous approach to problem-solving. You should have, or be expected to gain, a high 2:1 (preferably 1st class) honours degree in mechanical or aerospace engineering, or a related discipline with substantial background in fluid mechanics.
Essential skills
- Strong knowledge of numerical methods
- Ability to work effectively in a team
Desirable skills / experience
- Experience of applying CFD to a complex problem
- Knowledge of multiphase flows
- Experience with machine learning techniques
Funding and eligibility
Please note that due to funding restrictions this studentship is only available to UK (home fees) citizens.
This studentship covers UK home tuition fees and provides a tax-free stipend of up to £25,000 per year for four years.
How to apply
Interested candidates should email the following documents to IAT@nottingham.ac.uk
- Curriculum Vitae (CV)
- Cover letter
- Academic transcripts
Candidates will be interviewed at the earliest possible convenience, and the position will close once a suitable candidate is found.
Informal enquiries may be addressed to Dr Stephen Ambrose (Stephen.Ambrose3@nottingham.ac.uk) or Dr Chris Ellis (Chris.Ellis@nottingham.ac.uk)