CRANFIELD UNIVERSITY

Research Assistant in Computer Vision and Autonomous Systems

Location
Cranfield, United Kingdom
Salary
£24,254 to £27,782 per annum with additional performance related pay up to £34,725 per annum
Posted
24 Oct 2018
End of advertisement period
25 Nov 2018
Ref
2869
Contract Type
Fixed Term
Hours
Full Time

This is a fixed-term position to support the delivery of research on Embedded Systems and Visualisation 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. The experimental data will be collected from the newly built instrumented road – Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI). You will be contributing as Research Assistant to the team that is developing this facility, especially for what concerns the setup of the routines of multi-sensor fusion, object detection and tracking.

Organisation Cranfield University
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
Contract type Fixed term contract
Fixed Term Period Until 31 December 2019
Salary £24,254 to £27,782 per annum with additional performance related pay up to £34,725 per annum
Apply by 25/11/2018

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 Embedded Systems and Visualisation 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. The experimental data will be collected from the newly built instrumented road – Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI). You will be contributing as Research Assistant to the team that is developing this facility, especially for what concerns the setup of the routines of multi-sensor fusion, object detection and tracking.

Candidates are expected to be confident and independent researchers with an MSc (or close to completion) in a relevant engineering discipline as autonomous systems engineering or mechatronics.

You will also have experience in time-management, be able to work both independently and as part of a team and be keen to carry out experimental research.

For an informal discussion, please contact Dr Luca Zanotti Fragonara, Lecturer in Structural Dynamics, on (T); +44 (0)1234 750111 Ext. 5280 or (E); l.zanottifragonara@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.