Research Fellow in International Climate Politics | |
| Workplace | Leeds - Yorkshire - UK |
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Are you an ambitious researcher looking for your next challenge? Do you have a background in international climate politics? Do you want to further your career in one of the UK’s leading research-intensive Universities?As a Research Fellow in Computational Climate Politics you will work on the UKRI FLF project ’ Understanding normative change to address the climate emergency ’. This is a 4+3 grant, with generous funding for research and professional development of the PI (Prof Viktoria Spaiser) and their team. Your fellowship will focus on consolidating results from the first phase of the UKRI FLF (first four years) with respect to normative influence of climate movements on international climate politics with a focus on international climate policy negotiations (e.g. UNFCCC COPs). Throughout your research fellowship funding is available for professional development, e.g. for attending summer schools or for developing skills and your professional profile.What we offer in return
And much more! To explore the post further or for any queries you may have, please contact: Prof Viktoria Spaiser, Associate Professor in Sustainability Research and Computational Social Science, PI Email: v.spaiserleeds.ac.uk Email details to a friendView All Vacancies Location Leeds - Main Campus Faculty/Service Faculty of Social Sciences School/Institute School of Politics & International Studies (POLIS) Category Research Grade Grade 7 Salary £41,064 to £48,822 per annum Working Time 100% Post Type Full Time Contract Type Fixed Term (Fixed Term for 12 months to complete a specific task or time limited work) Release Date Tuesday 10 March 2026 Closing Date Tuesday 24 March 2026 Reference ESLPO1114 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 3213727. | |
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