About the Project
oughborough 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:
This research will investigate a novel application of embedded wearable sensing technology to improve the manufacturing organisation performance. Such technologies have been used to harness data from activity tracking, emotions recognition, to understanding health and well-being. Companies are beginning to use big data in order to increase the health and happiness of their employees, along with improving productivity and output. However, the value from such technology has yet to be fulfilled in areas relating to understanding human interactions, communication and knowledge sharing.
This project will investigate the use of wearable sensors and big data to understand the human role and interactions within specific workplaces (e.g. design office, manufacturing shop floor, hospital), so that we can understand the health of the organisation from knowledge sharing, communication and social interactions between peoples perspectives. Such understanding can be used to improve the organisation, workplace and systems design.
The research will include multi-disciplinary challenges relating to the understanding of industry/user requirements (including ethical consideration, privacy and security), machine learning and signal processing, systems modelling and big data analytics.
Find out more
http://www.lboro.ac.uk/departments/meme/staff/mey-goh/
Entry requirements
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in mechanical engineering, mechatronics, systems engineering, or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: computer science, robotics, AI and machine learning.
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 ‘WSS’ for the School of Mechanical, Electrical and Manufacturing Engineering.
If awarded, each 3-year studentship will provide a tax-free stipend of £14,777 p/a, plus tuition fees at the UK/EU rate (currently £4,260 p/a). 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 26 March 2019.
How to apply
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Electronic & Electrical Engineering’
Please quote reference number: WS25
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