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Research Fellow in Data Analysis and Impact Assessment of Connected Transport and Highly Automated Vehicles

Are you an ambitious researcher looking for your next challenge? Do you have a background in big data analytics and evidence-based assessment of driver behaviour and acceptance of connected, cooperative and automated transport?  Do you want to further your career in one of the UK’s leading research intensive Universities?

The Institute for Transport Studies has been awarded the three year PAsCAL project from H2020, which aims to create the Guide2Autonomy. This is a novel framework that will improve understanding of the implications of Connected and Autonomous Vehicles on society, as well as educate their future drivers, passengers and those who will have to share the road with them.

PAsCAL will make use of an interdisciplinary mix of tools from both human and technological sciences e.g. big data analytics and deep learning. The aim is to capture the public’s acceptance and attitude, analyse and assess their concerns, identify major obstacles/barriers that may hinder the social acceptance of CAVs, model and simulate realistic scenarios for the creation of best practices and validate findings in a number of real world trials.

You will work with and in support of Dr Chen’s research to ensure project tasks are successfully completed. You will be working on the PAsCAL project and will support other projects as and when required.

To explore the post further or for any queries you may have, please contact:

Dr Haibo Chen, Principal Research Fellow

Tel: +44 (0)113 343 5355, email: 

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Environment
School/Institute:  Institute for Transport Studies
Category:  Research
Grade:  Grade 7
Salary:  £33,199 to £39,609 p.a.
Working Time:  100% - We will consider job share/flexible working arrangements
Post Type:  Full Time
Contract Type:  Fixed Term (until 31 May 2022 due to external funding)
Release Date:  Wednesday 05 June 2019
Closing Date:  Friday 05 July 2019
Interview Date:  Tuesday 30 July 2019
Reference:  ENVTR1090
Downloads:  Candidate Brief  

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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