Experimental Research Fellow in Data Analysis for Autonomous Vehicles

Cranfield, United Kingdom
£32,656 to £36,399 per annum with additional performance related pay up to £45,499 per annum
Tuesday, 16 April 2019
End of advertisement period
Sunday, 19 May 2019
Contract Type
Fixed Term
Full Time

School/Department School of Aerospace, Transport and Manufacturing
Based at Cranfield Campus, Cranfield, Bedfordshire
Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered
Contract type Fixed term contract
Fixed Term Period Until 31 December 2019
Salary £32,656 to £36,399 per annum with additional performance related pay up to £45,499 per annum
Apply by 19/05/2019  

Role Description

Cranfield University is an exclusively postgraduate University with an excellent global reputation for industry-relevant education and research. We are the only university in Europe with our own airport and runway. Through the strong links with industry we have built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future.

Cranfield Aerospace is one of the eight major themes at Cranfield University. The Centre for Autonomous and Cyber-Physical Systems is a specialist centre established over 15 years within the School of Aerospace, Transport and Manufacturing dedicated to research and teaching in autonomous and space systems. We cover all types of autonomous vehicles including airborne, ground and marine as well as autonomous space exploration.

This is a fixed-term position to support the delivery of research on Digital Validation of Autonomous Vehicles 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. Part of the experimental data will be collected from the newly built instrumented road – Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI). As Research Fellow you will be developing software and algorithms of the Digital Environment for autonomous vehicle validation, simulation and visualization and collaborating actively with the team that is developing MUEAVI facility.

Candidates are expected to be confident and independent researchers with a PhD (or close to completion) in a relevant engineering discipline, such as autonomous systems, computer science or applied signal processing.

You will also have a proven track record of publishing in high quality journals, excellent time-management skills, be able to work both independently and as part of a team and be experienced in carrying out experimental research.

At Cranfield, we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential. We actively consider flexible working options such as part-time, compressed or flexible hours and/or an element of homeworking, and commit to exploring the possibilities for each role.

For an informal discussion, please contact Dr Ivan Petrunin Lecturer in Digital Signal Processing for Autonomous Systems, on (T); +44 (0)1234 750111 Ext. 8262 or (E);

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