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Digitising complex large scale manufacturing activities

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Large scale manufacturing of large complex products such as aircraft or modular construction often require manual assembly of large sub-components.

This process requires teams of people doing manual intensive activities on these sub-components. It will be beneficial to digitize their activities in order to use optimization and machine learning algorithms to improve the manufacturing process.

Various techniques to achieve this include the use of external sensors, sensors worn on workers, sensors on swarms of autonomous agents to mention a few.

This PhD will investigate the challenges associated with various sensing techniques as well as frameworks to digitise these activities and interface with other systems on the manufacturing floor.

This work will be carried out in collaboration with the renowned University of Sheffield Advanced Manufacturing Research Centre (AMRC) including the AMRC’s £43 million state-of-the-art ‘Factory 2050’ - the UK’s first fully reconfigurable assembly and component manufacturing research facility.

Funding Notes

Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January 2020. Specific information is avaialable at:
View Website

References

Ideally, students should have a background in computing/engineering, robotics, programming and embedded systems.

How good is research at University of Sheffield in General Engineering?

FTE Category A staff submitted: 21.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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