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Exploration of Techniques to Improve Reliability and Security of Autonomous Vehicles (SAM29)

  • Full or part time
  • Application Deadline
    Tuesday, January 14, 2020
  • 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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Project detail

Automotive systems are incorporating safety (e.g., automatic emergency braking) and emerging technologies (e.g., artificial intelligence, machine learning) aiming to enable the vehicles to efficiently react to hazards and unpredictable modifications in their environment. Applications running on such systems differ in terms of security, reliability, performance and power requirements. Depending on their needs, such applications can be assigned to different processors to achieve, for instance, spatial isolation between safety critical and non-safety critical functions. Although using reliable and secure hardware components is key to its success, the software side of autonomous vehicles is where the most challenging design challenges lay. Thus, automotive engineers must develop not only more performance efficient software architectures to make fast runtime decisions, but also more reliable and secure software stacks aiming to guarantee a failsafe system operation.

The aim of this PhD research is to investigate novel cost-effective techniques and software architectures that can be used to improve the reliability and security of the emerging multi-core autonomous vehicle systems.

Start date of studentship: 01 Oct 2020.

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in electrical or computer engineering or closely related field or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: strong and solid background in operating systems, compilation, simulation, embedded and multicore systems.

How to apply

All applications should be made online at Under programme name, select ‘Mechanical, Electrical & Manufacturing Engineering’.

Please quote reference number: SAM29

Funding Notes

Applicants who apply for this project will be considered on a competitive basis in March 2020 against candidates shortlisted for this and other projects with the advert reference beginning ‘SAM’. Early submission is advised, and a complete application must be received before the advert’s closing date.

If successful, candidates will be awarded a 3-year school studentship providing a tax-free stipend and tuition fees at the UK/EU rate (currently £15,009 and £4,327, respectively, in 2019-20 which are likely to rise by 2020/21). Non-EU-nationals may apply but the studentship will cover the cost of the international tuition fee only.

Successful candidates will be notified by 26 March 2020.

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