PhD Studentship

Loughborough University - EPSRC Centre for Doctoral Training in Embedded Intelligence

A Fully Funded PhD Studentship co-sponsored by Ford Motor Company: Design and Development of a Next Generation Personalised, Adaptive, Integrated Electric Bicycle (eBike)

The EPSRC Centre for Doctoral Training in Embedded Intelligence at Loughborough University is offering a fully-funded PhD studentship to UK/EU applicants. It will run for 4 years and it includes:

  • A fee waiver equivalent to the home/EU rate
  • An enhanced EPSRC tax-free stipend of £17,296 p.a. for four years.
  • A personal training budget of £10,000 to support specific training needs.

The global eBike market is characterised by a number of small brands all vying for sales on the crest of a steep technology curve. New battery and motor technologies are continually being released and as yet there are no dominant brands in place. The trends toward increasing reliance on bicycles for urban journeys and the potential for eBikes to meet a substantial chunk of future urban transport present significant opportunities for innovation and exploitation within this market. Many automakers are developing concept eBikes and some even have eBikes on sale. The aim of this project is to establish a next generation adaptive eBike prototype, that can be integrated with a range of distributed smart services, be deployed by Ford across a range of eBike motor and battery configurations and will deliver for the customer a consistent performance feel and level of riding comfort that is recognisably aligned with best in class performance.

Applicants should

  • Have a first class honours or good upper second class degree in Mechanical Engineering, Electrical / Electronics Engineering, Aeronautical / Automotive Engineering, Physics, Mathematics, Computer Science.
  • Have an understanding and experience of product design and development, energy monitoring and control, human performance monitoring, embedded software design and development, distributed systems engineering.
  • Demonstrate a keen interest in next generation electric vehicles and integration with “smart cities” technologies.
  • Experience of bicycle performance monitoring, systems engineering & design and big data integration & analytics is desirable.
  • Meet the minimum English Language requirements, details available on the website

How to Apply

Applications should be made online at A list of the required documentation can be found here. Please select "CDT Embedded Intelligence Wolfson School" under Programme Selection and quote reference CDTEIWS6 under Research Interests.

Embedded Intelligence is the integration of intelligence into products, processes and services so they work better and can increase productivity, efficiency and connectivity. It is underpinned by diverse areas of expertise (engineering, chemistry, biology, materials, design and computer science). We offer a unique 4 year full-time programme which enables students to develop their research skills whilst working with industrial partners. Research training is also complemented by non-technical subjects e.g. leadership, enterprise and social responsibility.

Informal enquires about the research project should be made to Prof. Andrew West (+44 (0) 1509 227550). Enquiries about the application process and CDT programme can be made to or visit the website  For answers to frequently asked questions about the CDT, visit the website.  

Applications will be reviewed on an ongoing basis until positions are filled. Early application is therefore strongly encouraged.

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Midlands of England