Exploration of Autonomous Vehicles Soft Error Assessment and Management Techniques (WS09)
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Full 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. Although using reliable 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 software stacks aiming to guarantee a failsafe system operation. The occurrence of soft errors in such systems can lead to wrong decisions, which might ultimately incur in life losses.
The aim of this Ph.D. research is to set a new discipline in the assessment and management of autonomous vehicles soft error. In this context, the appointed Ph.D. candidate is expected to investigate novel cost-effective tools and techniques that can be used to provide different levels of soft error reliability guarantees, and that cope with different levels of security and criticality of the emerging multicore autonomous vehicle systems.
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.
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.