Research Fellows

**Job Description**
The Rolls-Royce University Technology Centre for Computational Engineering is seeking highly motivated individuals to join an Innovate UK funded project. The role involves the development of digital engineering technologies to accelerate the design of the next generation of gas turbine engines. Successful candidates will develop novel machine/deep learning methods, leveraging both computational and experimental data, in collaboration with industrial partners to accelerate gas turbine design and improve through-life performance predictions.

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

**Qualifications**
Required Degree(s) in:
• Relevant discipline

**Experience**
Other:
• Experience in the development of machine/deep learning (ML/DL) methods for engineering
• Experience of 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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