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New Digitalisation Processes and Digital Twins for Aerospace Engineering (SAM34)

Project Description

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

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Project detail

The UK Industrial Strategy has identified digitalisation as a key priority area that will completely transform the future engineering-manufacturing landscape with Industry-4.0 concepts being crucial enablers to this strategy.

The studentship will focus on researching novel Industry-4.0 concepts for future aircraft design and manufacturing processes including digital twins, augmented/virtual reality, deep/machine learning technologies and big data analytics. These technologies are powerful solutions that look set to transform industry productivity across the complete lifecycle by optimising products, their manufacturing processes and future supply chains. Other exciting technologies to be considered include new information solutions such as single source of truth and blockchain technologies to provide improved traceability and certification compliance across the lifecycle. The human factors aspect of digitalisation is another area of great interest as engineering moves towards ever closer to greater use of model-based engineering methods and virtualisation.

The successful candidate will be a high quality, highly motivated student with strong skills in one or more of the following areas programming; AR/VR, Deep/machine learning, human factors, visual analytics, and will work well independently as well as part of a team. There will be freedom and flexibility in shaping the research project within these broad objectives through collaboration with Airbus to understand research context and industry need. The successful candidate will have a superb opportunity to engage with a world-class company and deliver a real-world impact.

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Start date of studentship: 01 October 2020.

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours or a relevant Master’s degree (or equivalent) in computer science, systems engineering, Data science, manufacturing, human-computer interaction, or a related engineering subject.

How to apply

All applications should be made online at Under programme name, select ‘Mechanical, Electrical & Manufacturing Engineering’.

Please quote reference number: SAM34.

Funding Notes

This project is in collaboration with Airbus. Applicants who apply will be considered on a competitive basis in March 2020 against candidates shortlisted for this and other projects with the advert reference beginning ‘SAM’. Early submission is advised, and a complete application must be received before the advert’s closing date.

If successful, candidates will be awarded a 3-year school studentship providing a tax-free stipend and tuition fees at the UK/EU rate (currently £15,009 and £4,327, respectively, in 2019-20 which are likely to rise by 2020/21). Non-EU-nationals may apply but the studentship will cover the cost of the international tuition fee only.

Successful candidates will be notified by 26 March 2020.

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