CRANFIELD UNIVERSITY

Research Assistant or Research Fellow

1 day left

Location
Cranfield, United Kingdom
Salary
Research Assistant: £24,254 per annum to £27,782 per annum Research Fellow: £32,656 per annum
Posted
28 Jun 2019
End of advertisement period
17 Jul 2019
Ref
3102
Contract Type
Fixed Term
Hours
Full Time

Research Assistant or Research Fellow in Autonomous Vehicle Trials Analytics and Control Validation​

Organisation Cranfield University
School/Department School of Aerospace, Transport and Manufacturing
Based at Cranfield Campus, Cranfield, Bedfordshire
Hours of work 37 hours, normally worked Monday to Friday. Flexible working will be considered.
Contract type Fixed term contract
Fixed Term Period until 31 December 2019
Salary Research Assistant: £24,254 per annum to £27,782 per annum Research Fellow: £32,656 per annum
Apply by 17/07/2019

Role Description

Applications are invited for a postdoctoral research fellowship, working on an exciting new autonomous vehicle project with a major OEM. This project is funded by Innovate UK. The project is worth £14 million and involves six industrial partners, two universities and one government-sponsored organisation.

The project will involve the development of trials analytics software for our new Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) and novel formal validation techniques combining risk perception models, formal validation and trials data.  You will be expected to contribute to the design, development and demonstration of these, and to work closely with our industrial and research partners.  You will also be expected to help mentor PhD and MSc students working in the group.

At Research Assistant level you must hold an MSc or equivalent experience in a relevant engineering discipline or be close to completion and have prior experience of control or formal model validation.

At Research Fellow level you will hold a PhD (or near completion) in a relevant engineering discipline or be close to completion and have prior experience of control or formal model validation.

For an informal discussion, please contact Dr Daniel Auger, Lecturer in Advanced Control and Optimisation by email; d.j.auger@cranfield.ac.uk

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.