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AI enabled Cyber-Human Integration for Industrial Environments (SAM22)

  • Full or part time
  • Application Deadline
    Tuesday, January 14, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

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 advent of Industry 4.0 is providing changes and challenges to the manufacturing industry. The vision of smart factories, smart products and smart services supported by existing technology is revolutionary and provides new opportunities to re-think the way we manufacture products.

This project establishes that humans are an intrinsic part of the manufacturing system. Industry 4.0 establishes the concept of cyber-physical-systems, however this needs to be extended to include the concept of cyber-physical-human as most systems still have a human element. In order to achieve the cyber-human concept investigations on operator enhancement using augmented reality, wearable technology and advance metrology will need to be considered. More importantly learning techniques will need to be deployed to use the data and provide accurate contextual human behaviour models.

The project should provide the advances in human-machine collaborations targeting high performance resilient systems.
This is an excellent opportunity to develop and work with leading companies in manufacturing as a member of the Intelligent Automation Centre.

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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 degree (or equivalent) or masters in in engineering, operations management, computer science, applied mathematics or a related subject.

How to apply

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

Please quote reference number: SAM22

Funding Notes

Applicants who apply for this project 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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