Demoquas Research Assistant / Associate in Turbomachinery, Machine Learning and UQ

Location: South Kensington 

Job Summary

We have an exciting opportunity to join a strong collaborative project between Imperial College and several EU partners, Demoquas, on the development of new UQ methods for Aircraft Engines.

The project will involve a close collaboration with Rolls-Royce in UK and all other partners.

To enable next generation of aircraft engines, electric or using hydrogen, requires new and efficient Uncertainty Quantification models able to handle complex simulations, with multifidelity and multiscale methods.

The post will require travel and close collaboration with other members of the project. 

Duties and responsibilities 

You are expected to:

• Take initiative in the planning of the research and collaboration under minor supervision.
• Analyse real CFD data for real aircraft engines. In addition, you will use this understanding to develop new assessment methods.
• Collaborate with Demoquas researchers.
• Publish in world-leading journals in the field and communicate your work at project meetings as well as externally at conferences and working group meetings.

Essential requirements 

Those appointed at Research Associate level

Hold a PhD in Engineering, Turbomachinery, Machine Learning, UQ or CFD or a closely related discipline, or equivalent research, industrial or commercial experience

Those appointed at Research Assistant level

A first / masters degree (or equivalent) in Engineering, Turbomachinery, Machine Learning or CFD, or equivalent research, industrial or commercial experience or a closely related discipline.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

Further Information

Should you require any further details on the role please contact Prof Francesco Montomoli, f.montomoli@imperial.ac.uk and or Dr Vito Tagarielli, v.tagarielli@imperial.ac.uk for further details

For technical issues when applying online please email recruitment@imperial.ac.uk

For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

Closing date: 14^th May 2024

Apply online via the above ‘Apply’ button.

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