|Placed On:||12th November 2018|
|Closes:||18th March 2019|
Digital technologies such as Digital Twins, Industry 4.0, Blockchain, and Artificial Intelligence among others are changing the way industrial firms operate and communicate. The Digital Twin is one of the newest and most promising technologies that will change the way we operate and live. We know that real-time data is crucial for proactive and effective feedback into better delivery of products and services that enhance users' experience.
To date, we don't know to what extent the Digital Twin could improve on the design, making and sustainability of products and services and the effects on end-users. In response to this need, the objective of this doctoral project is to create a living digital twin of an aerospace engine to monitor the engine in-use and understand the effects on conceptual design and users' behaviours (including end-uses). By getting the data coming from the asset in real-time use, it informs how the asset is behaving in action, some of the aspects to be studied are the efficiencies, times, etc. And concurrently it feeds information to improve the conceptual designs of engines and their services provided to users.
This proposal fits under the DTP's umbrella particularly on the area of 'Emerging technologies, human behaviour and productivity'.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in an Engineering, Engineering Management or related subject.
EPSRC DTP studentships are fully-funded (fees and maintenance) for UK students or provide fees only for EU students from outside the UK. Further details about eligibility can be found at: epsrc.ukri.org/skills/students/help/eligibility.
To apply for this studentship, please send your two-page CV, your undergraduate transcripts, a covering letter describing your previous research experience and why you would like to undertake a PhD and a copy of a proof of residence in the UK/EU, to Mrs Jacqueline Brown (email@example.com) to arrive by noon on the 15th January 2019. Please include 'DTP: Digital Twins PhD Studentship' in the subject line of your e-mail. Informal enquiries about the vacancy can be made to Dr. Veronica Martinez firstname.lastname@example.org).
Please note that any offer of funding will be conditional on securing a place as a PhD student. Thus, selected Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. Note that there is a £60 fee for PhD applications. The applicant portal can be accessed via: www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg.
The University values diversity and is committed to equality of opportunity.
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