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Artificial Intelligence and Machine Learning for Manufacturing

  • 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

Manufacturing processes potentially generate a lot of data during the manufacture of a product. In most plants, data is either not collected or if collected, there is lack of knowledge on how to derive insights from the data collected.

This PhD will investigate how Machine learning algorithms can be interfaced with manufacturing systems and then applied to derive insights from various manufacturing data. Existing machine learning libraries could be used or novel smart algorithms developed. The aim of applying machine learning will be to improve manufacturing efficiency, reduce defects, reduce downtime of machines, increase productivity among other criteria.

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 available at:
View Website

References

Ideally, students should have a background in 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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