Research Fellow in Agent-based Modelling | |
| Workplace | Leeds - Yorkshire - UK |
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Salary: Grade 7 (£41,064 - £48,822 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. Would you like to be part of a major collaborative research programme to help tackle transport’s contribution to the climate crisis? Are you looking to apply your research skills to identify potential transitions towards sustainable mobility? Do you thrive on working in an exciting and creative environment committed to making a difference? Inspiring Futures for Zero Carbon Mobility (INFUZE) is a major £7.8m five-year research grant funded by the Engineering and Physical Sciences Research Council. Working across the Universities of Leeds, Lancaster and the Royal College of Art INFUZE is seeking to achieve transformative change in how transport works, addressing the climate challenge whilst improving fairness and quality of life. INFUZE is an exciting new collaboration which will work with citizens and businesses to re-imagine our transport systems. The programme will build an increasingly ambitious suite of real-world trials with communities, transport providers and government partners. We are looking to recruit a passionate and committed researcher to drive forward our work on simulating possible transitions away from individualised car ownership. This work will seek to understand the social conditions under which large-scale changes in norms and behaviours around accessing mobility on demand emerge. Our models will consider factors relating to social influence, technology acceptance, and household context, as well as the effect of changes to urban space and design. The outputs will feed into whole life-cycle carbon assessments. Candidates will require expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in working with others and able to support co-creation. This role will be located in the School of Geography’s Institute for Spatial Data Science (ISDS), as part of the Mobility Science Lab. As well as working closely with Prof Ed Manley and Dr Roger Beecham, and the wider INFUZE team, there will be opportunities to engage and contribute to research activities within ISDS, the Institute for Transport Studies (ITS) and the Leeds Institute for Data Analytics (LIDA). 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: ?url=www.gov.uk%2Fskilled-worker-visa&module=jobs&id=3205183" target="_blank" rel="nofollow">?url=www.gov.uk%2Fskilled-worker-visa&module=jobs&id=3205183" target="_blank" rel="nofollow">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: ?url=https%3A%2F%2Fwww.gov.uk%2Fglobal-talent&module=jobs&id=3205183" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.gov.uk%2Fglobal-talent&module=jobs&id=3205183" target="_blank" rel="nofollow">https://www.gov.uk/global-talent What we offer in return
And much more! To explore the post further or for any queries you may have, please contact: Professor Ed Manley Email: E.J.ManleyLeeds.ac.u k Email details to a friend View All Vacancies Location Leeds - Main Campus Faculty/Service Faculty of Environment School/Institute School of Geography Category Research Grade Grade 7 Salary £41,064 to £48,822 per annum Working Time 100% Post Type Full Time Contract Type Fixed Term (36 months - to complete time limited work) Release Date Tuesday 24 February 2026 Closing Date Monday 23 March 2026 Reference ENVGE1283 Downloads Candidate Brief (PDF) Keyword Search: Search Existing Account / Staff Member Do you have an existing account, or are you a member of staff? Login New User For new applicants, please register for an account Register | |
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In your application, please refer to myScience.org and reference JobID 3205183. | |
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