Qualification Type: | PhD |
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Location: | Edinburgh |
Funding for: | UK Students, EU Students |
Funding amount: | Tuition fees + stipend are available for applicants who qualify as a UK applicant, or an EU applicant (International/non EU students are not eligible) |
Hours: | Full Time |
Placed On: | 6th June 2024 |
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Closes: | 28th February 2025 |
The advent of Industry 4.0 has ushered in a new era of manufacturing, marked by the integration of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and digital twins. This research project will investigate the methodologies and technologies necessary to create an accurate and dynamic digital twin that reflects the real-time status of a manufacturing process, thereby enabling enhanced decision-making, predictive maintenance, and improved production efficiency.
This project will be jointly supervised by:
Prof Prof Jonathan Corney j.r.corney@ed.ac.uk
Dr Matjaz Vidmar matjaz.vidmar@ed.ac.uk
Please note that this advert will close as soon as a suitable candidate is found.
Eligibility:
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Please note that as this is a defence based project, only UK/EU students are eligible to apply. International applicants are not eligible.
Further information on English language requirements for EU/Overseas applicants.
Funding:
Tuition fees + stipend are available for applicants who qualify as:
Funding is available through EPSRC Prosperity Partnership Programme. As this is a defence related project there are nationality restrictions (see above).
Informal Enquiries:
Prof Jonathan Corney, j.r.corney@ed.ac.uk
Further Information:
The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: https://www.ed.ac.uk/equality-diversity
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