Research Fellow in Digital Validation

Cranfield University - Centre for Autonomous and Cyber-Physical Systems

Full Time, Fixed Term contract until 31 December 2019

Location: Cranfield, Bedfordshire, MK43 0AL

Cranfield University is an exclusively postgraduate university specialising in technology and management research whilst demonstrating global leadership in the quality of its education provision (both to students and to executive-level professionals). Cranfield is number one in the UK for training and producing engineering and technology postgraduates, ranked number one for defence education and fourth for mechanical, aeronautical and manufacturing engineering education in the UK. In the recent Research Excellence Framework (REF) 2014 exercise, 81% of our research was judged to be world-leading or internationally excellent. Cranfield has also been awarded the prestigious Queen’s Anniversary Prize in Further and Higher Education four times, for our Fellowship in Manufacturing Management (2005), work in Humanitarian De-Mining (2007), Aviation Safety through research and training in air accident investigation (2011) and for our research on water and sanitation for developing countries (2015). Critical intellectual mass at Cranfield has recently been organised around eight major themes. The themes reflect the core strengths and they pull together the breadth of the talent and experience across the University enabling researchers to apply a multi-disciplinary approach that enables cross-boundary collaboration, benefiting researchers, students and clients.

This is a full time, fixed-term position to support the delivery of research on Digital Validation for the Innovate UK-funded project HumanDrive. The main aim of the project is to provide a demonstration of a driverless car with the capability of emulating human driver behaviour. As a part of the demonstrator development, there is a need to validate the autonomous ability to emulate human driving styles. The purpose of Digital Validation is to provide quantifiable comparison between the desired and actual behaviours together with traceability of the differences. Simulated and measured data will be used to quantify the degree to which the autonomous control deviates from the acceptable trajectories observed in human drivers. This will provide driving behaviour data which can be analysed as statistical residuals which can be traced back to contributing factors within the synthetic and physical test environments. Hence, this post requires a combination of skills in system analysis and traceability.

The post will involve collaboration with academic and industrial partners. You will need to be able to demonstrate excellent interpersonal skills to communicate with staff from all organisations across a wide range of disciplines to discuss research methodologies. The ability to communicate, rapidly assess information, resolve problems and respond in a timely manner is essential. A PhD (or close to completion) in Control Engineering or related engineering/science subject is essential. Industrial experience would be an advantage.

For an informal discussion, please contact Professor Antonios Tsourdos, Head of the Autonomous and Cyber-Physical Systems Centre, on +44 (0)1234 758578 or E: a.tsourdos@cranfield.ac.uk

Apply online now at www.cranfield.ac.uk/hr or contact us for further details on E: hr@cranfield.ac.uk or T: +44 (0)1234 750111 Ext. 2345. For any enquiries, please quote reference number 2519.

www.cranfield.ac.uk

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