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Research Associate/Fellow - Assurance & Regulation, Robotics & Autonomy

Department
Computer Science
Based at
University of York - Heslington Campus
Hours of work
Full-time
Contract status
Fixed term
Salary
Grade 6 / 31,604 - 38,832 Grade 7 / 38,832 - 47,722
Apply by
25/06/2018
Documents

Role Description

We are seeking two highly-motivated researchers to work with Professor John McDermid and Dr Mark Nicholson as part of the new 'Assuring Autonomy International Programme’ (https://www.york.ac.uk/assuring-autonomy/), a £12 million initiative funded by Lloyd’s Register Foundation and the University of York to spearhead research, training and standards in the safety of robotics and autonomous systems (RAS). The role is concerned with research into assurance and regulation of RAS, across a range of sectors, and developing and validating associated teaching material.  You will work extensively with the other research staff in the programme, and with academic staff in the Department of Computer Science, including those delivering York’s current Safety Critical Systems engineering (SCSE) MSc and Continuing Professional Development (CPD) courses.

A key deliverable of the programme is a Body of Knowledge (BoK), which will be a wide-reaching, structured, curated knowledge base covering the state-of-the-art techniques, methods and processes for designing, assuring, and operating RAS. You will play a pivotal role in achieving impact from the programme by conducting research to develop and publish critical parts of the BoK. You will develop and trial educational materials to ensure the BoK has impact as the required Knowledge, Skills and Behaviours evolve in industry.

You will have a first degree in a relevant subject and a PhD in a STEM subject (or equivalent experience), with a proven track record of research and an interest in developing and delivering advanced educational material. You will have or be able to develop a good understanding of system safety, enabling you to undertake research on such issues as assurance of systems that learn, data safety, etc. You will prepare educational material that can be delivered to a range of academic and industrial partners, in the UK and internationally (partially via on-line learning), which will also enable the validation of the BoK in a broad range of application domains.

Essential personal attributes include attention to detail and commitment to high quality, collaborative ethos, interest in and enthusiasm for the subject matter of the programme, positive attitude to colleagues and students, and ability to plan and prioritise your own work in order to meet deadlines. Ideally you will have experience of both research and teaching, and an ability to work as part of a team, as well as working independently using your own initiative.

For informal enquiries please email:  john.mcdermid@york.ac.uk or telephone 01904 325419

Vacancy Reference 6703

 

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