Performance optimisation of train-wash systems using novel sensors and embedded intelligence, a fully funded PhD studentship co-sponsored by Airquick Ltd

The EPSRC Centre for Doctoral training in Embedded Intelligence at Loughborough University offers an unique 4 year full-time programme which enables students to develop their research skills whilst working with industrial partners. Our researchers will be at the forefront of the latest developments in Embedded Intelligence and be supported by over 45 academic members of staff and industry specialists in this field. Research training is also complemented by non-technical subjects e.g. leadership, enterprise and social responsibility.

The PhD studentship lasts for 4 years and includes:
• A fee waiver equivalent to the home/EU rate
• An enhanced EPSRC tax-free stipend of at least £17,296 p.a. for four years.
• A personal training budget of £10,000 to support specific training needs.

Find out more: www.cdt-ei.com

Project Detail:
Increased demands from train operators and the ever increasing legislation surrounding the rail industry are constantly driving new technological developments. Train operators are facing increasing charges for failing to meet cleanliness standards and as they are continually pushed to lower costs, are demanding faster and more efficient wash systems with lower energy consumption, water and effluent usage and greater flexibility in terms of train speed and cleanliness levels. This work will require fundamental research and new innovations in order to develop an optimised and intelligent train cleaning and inspection system. The system will have to be based on sound engineering principles, with experimental testing and validation, to make the company’s products more competitive nationally and internationally.

Find out more:
www.cdt-ei.com
http://www.airquick.co.uk/

Entry requirements:
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical Engineering or Mechatronics or a closely allied discipline. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: mechatronics, systems control and sensors. Experience of working or researching in the Rail Industry would be advantageous.
Applicants must also meet the minimum English Language requirements, details available on the website.

Contact details:
Name: Dr David Kerr
Email address: [Email Address Removed]
Telephone number: 01509 227 559

How to apply:
All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select “CDT Embedded Intelligence Wolfson School”

Please quote reference number: 2017CDTEIWS2
Application deadline: 28th February 2017