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Future Intelligent IoT Architectures for Tracking and Traceability


Wolfson School of Mechanical, Electrical and Manufacturing Engineering

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Dr S Pease , Prof W Whittow No more applications being accepted Competition Funded PhD Project (Students Worldwide)

About the Project

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.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/
Full Project Detail
The outstanding student will use novel approaches to distributed and embedded system design to develop an AI based architecture for tracking mobile objects in complex manufacturing environments. In order to address this challenge they will find the best approach to service interoperability and scalable fusion of distributed networking technologies. This will involve investigation of semantic web architectures and how these are implemented for decision support the use of novel approaches such as Blockchain for secure data, software and functionality sharing. The Industrial IoT solution will depend on fusion of heterogeneous technologies and traceability as devices use wireless Mesh, WLAN, WSN as well as mobile connections such as LTE and 5G and cyber-physical evaluation will be conducted using embedded systems, cloud software and simulation. The key to implementation of a future IoT architecture is trust in consistent and right first time output - the student will investigate methods, metrics and systems used to support human trust in the output of paradigm shifting architectures implemented in Industrie 4.0, cyber-physical systems and the IoT.
Find out more
https://www.lboro.ac.uk/departments/meme/staff/sarogini-pease
Entry requirements
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering, Computer Science or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Embedded System Design, Communication Networks and the IoT, Semantic Web, Sensors, C, C++ or Python
How to apply
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Mechanical & Manufacturing Engineering’.

Please quote reference number: SAM05/2020#2

Start date of studentship: 01 Jan, April or 01 July 2021

Funding Notes

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘SAM’ for the School of Mechanical, Electrical and Manufacturing Engineering.

If awarded, each 3-year studentship will provide a tax-free stipend of £15,285 p/a, plus tuition fees at the UK/EU rate (£4,407). While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 21 September 2020.
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