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Research Fellow in Impact Assessment with Expert Systems

Are you an ambitious researcher looking for your next challenge? Do you have a background in expert systems (e.g. fuzzy logic) and environmental impact assessment? Do you want to further your career in one of the UK’s leading research intensive Universities?

ITS has been awarded the optiTruck project from H2020 which aims to create a global optimiser to reduce fuel consumption from heavy duty vehicles (http://optitruck.eu/). optiTruck is developing a set of dynamic prediction components for effective powertrain management in real time. One of the tasks in the optiTruck project is to develop an expert system model calibrated to the trials’ conditions and results, and used to calculate the impacts of the optiTruck system for a variety of traffic and weather conditions, topologies and route choices, vehicle mass and types, and as well as optimisation settings. This model will also be used to simulate future scenarios (e.g. fully automatic powertrain calibration/ optimisation with real-time environment conditions, traffic data and load factors) so that the long-term impact with new trucks can be estimated. The impact assessment will also address the benefits in terms of environment protection and social aspects such as driver/fleet operator mentality shift. 

You will work with and in support of Dr Chen’s research to ensure project tasks are successfully completed, click here for further information. Primarily you will be working on the optiTruck project and additionally will support other projects as and when required. You will have a PhD in Transport and Environment focused on assessment and evaluation. 

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: H.Chen@its.leeds.ac.uk

 

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Environment
School/Institute:  Institute for Transport Studies
Category:  Research
Grade:  Grade 7
Salary:  £32,548 to £38,833 p.a.
Due to funding limitations the post will be appointed at no higher than spine point 33, £35,550
Working Time:  100%
Post Type:  Full Time
Contract Type:  Fixed Term (until 31 August 2019 due to external funding. To start as soon as possible)
Closing Date:  Sunday 01 July 2018
Interview Date:  Thursday 26 July 2018
Reference:  ENVTR1066
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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