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Intelligent modelling with machine learning in autonomous vehicles (WS19)

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  • Full or part time
    Dr Y Gong
  • 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.
Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Full Project Detail

Autonomous vehicles have attracted huge attention recently as they shape the future of the automotive industry. Implementation of autonomous vehicles well depends on efficient system modelling as in, for example, engine optimization. This PhD project aims to develop innovative on-line modelling for autonomous vehicle using advanced machine learning approaches. This involves various tasks including sensing, modelling, control, and optimisation and computing for energy efficient autonomous vehicles. The project falls into a rapidly growing area and focuses on a class of far-reaching scientific and technical problems. Autonomous vehicles use perception of the environment to make decisions and realise unmanned driving. The efficient modelling would provide a crucial part in breaking down a wall that currently exists between research in autonomous driving and powertrain control. The project would be used not only in autonomous vehicles but also in wider applications including control and communications.

The project will be carried out in the Signal Processing group in the Wolfson School, and collaborate with expertise in other schools/department including the largest university-based automotive research groups in the world so that you will have access to world-class vehicles and powertrains research facilities. You will also receive supports from experienced researchers and practitioners in the field. Autonomous is a flourish area with great job opportunities. Most leading automotive companies have announced strategic partnerships with IT companies to explore this area including Ford and Google; Toyota and Microsoft; General Motors and Lyft; and Volvo and Uber.

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in electronic engineering or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: artificial Intelligence, machine learning, system identification, programming skills (e.g. Matlab, C, C++ and Python)

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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