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Research Fellow in Diffusion of Electric Vehicles in Emerging Countries

Salary: Grade 7 (£38,205 – £45,585 p.a. depending on experience) 

This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.

Are you an experienced and ambitious researcher looking for your next challenge? Are interested in pushing forward the state-of-the-art in innovative zero-emission vehicles in both advanced and emerging markets, and in assessing their environmental, social and economic sustainability? Do you want to further your career in one of the world leading research institutions in Transport?  

Based in the Institute for Transport Studies at the University of Leeds, you will primarily contribute to the modelling and assessment of electric vehicles. This work aims to derive and assess policy interventions (by developing a modelling and simulation software environment) to increase design and operational efficiency, and reduce energy consumption from electric vehicles (EVs), considering real-world conditions (e.g. transport mission; road topography; weather; and surrounding vehicles).

Joining the Spatial Modelling and Dynamics Research Group and working with Professor Haibo Chen and colleagues, you will specifically work to develop assessment capabilities required for an analysis of affordable and user-centric frugal electric vehicles equipped with innovations such as lighter mass and eco-sustainable materials, suitable range and dynamic performances, and higher utilisation of local reusable resources.

You are expected to mainly work on the EU-funded project "ZEV-UP: Frugal Zero-Emission Vehicles for the Urban Passenger challenge". Your research will provide input to the assessment of policy intervention scenarios and strategies for short- and long-term green vehicle uptake in various markets (particularly in emerging countries), accelerating the transition to sustainable urban mobility and contribute to the reduction of greenhouse gas emissions in the transport sector. You may also be requested to support relevant research activities which are based on the on-going project nPETS in the field of nanoparticle emissions, transport pollution and health impact.

With a PhD or a Masters’ degree with equivalent industry experience in Transport Studies, you will also have a strong modelling background in impact assessment, modelling and simulation tools, and a track record of leading successful, high-quality publications.

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

What we offer in return

    26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!

    Generous pension scheme plus life assurance– the University contributes 14.5% of salary

    Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.

    Personal Development: Access to courses run by our Organisational Development & Professional Learning team.

    Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

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

Professor Haibo Chen, Professor in Intelligent Transport Systems

Email: H.Chen@leeds.ac.uk

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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Environment
School/Institute
Institute for Transport Studies
Category
Research
Grade
Grade 7
Salary
£38,205 to £45,585 per annum
Working Time
100% - we are open to discussing flexible working arrangements
Post Type
Full Time
Contract Type
Fixed Term (12 months - to complete specific time limited work)
Release Date
Wednesday 21 August 2024
Closing Date
Tuesday 03 September 2024
Interview Date
Thursday 12 September 2024
Reference
ENVTR1204
Downloads
Candidate Brief (PDF)
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