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Revolutionising railway systems: autonomous mechatronic vehicles and artificially intelligent infrastructure (WS02)

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  • Full or part time
    Dr C Ward
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

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.
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Full Project Detail

Rail systems (i.e. the combination of vehicles and infrastructure) have used the same fundamental mechanical principles for nearly 200 years. The Control Systems Group aims is to challenge entrenched thinking and revolutionise how rail systems are designed and operated. The vision is for future vehicles to be autonomous, self-guiding and self-diagnosing mechatronic systems that will dramatically improve performance and reliability, combined with intelligent, resilient infrastructure. This project will investigate cutting edge algorithms from the control, autonomy and artificial intelligence areas to produce proof of concept demonstrators to influence key thinkers in the rail sector who will implement these disruptive technologies in the future.
The Control Systems Group have been investigating concepts in this sector for more than 30 years and this is evidenced by being a key academic member of the UK Rail Research and Innovation Network (UKRRIN). This project is a great opportunity to be part of this expanding and fascinating area, helping shape the future of rail travel.

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Control Systems Group

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in an electronic/electrical/mechanical engineering discipline or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: control engineering; dynamic modelling; condition monitoring; hardware-in-the-loop methods.

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 ‘WS’ for the School of Mechanical, Electrical and Manufacturing Engineering.
If awarded, each 3-year studentship will provide a tax-free stipend of £15,009 p/a, plus tuition fees at the UK/EU rate (currently £4,327 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 30th September 2019.

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