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September 18, 2025

**Job Description**
The Rolls-Royce University Technology Centre for Computational Engineering is seeking two highly motivated research fellows to develop digital engineering technologies. The role involves accelerating the design of next-generation gas turbine engines by developing novel machine/deep learning methods that leverage computational and experimental data in collaboration with industrial partners, aiming to improve through-life performance predictions.

**Qualifications**
Required Degree(s) in:
• Relevant discipline (Ph.D. or equivalent)

**Experience**
Other:
• Experience in the development of machine/deep learning (ML/DL) methods for engineering
• Experience in numerical modelling (e.g. CFD and FEA)
• Experience working as part of a team
• Experience working with industry
• Experience disseminating research within high impact journals and at international conferences

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Experience
Other: • Experience in the development of machine/deep learning (ML/DL) methods for engineering • Experience in numerical modelling (e.g. CFD and FEA) • Experience working as part of a team • Experience working with industry • Experience disseminating research within high impact journals and at international conferences
Work Level
Ph.D
Employment Type
Research Job
Details
Full-time / Temporary Duration: Fixed-term until 2028-09-30
School / Department / Center / Lab
• Rolls-Royce University Technology Centre for Computational Engineering
Supervisor(s)
Prof. David Toal
Supervisor Email
david.toal@nottingham.ac.uk
Rolls-Royce University Technology Centre for Computational Engineering
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