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Research Fellow in Artificial Intelligence for Digital Democracy

Are you a researcher looking for your first challenge? Are you excited to explore the opportunities and risks of artificial intelligence on democratic and collective decision-making processes? Do you want to advance your career in by joining the Trustworthy Distributed Intelligence Lab to work in one of the UK’s leading research-intensive universities with industrial collaborations?

You will have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social science, and a vivid interest on digital democracy, in particular, the areas of computational social choice (voting methods), deliberation and collective decision making. You will know how to work with data, in particular, collecting and analysing AI-assisted human choices and deliberation data. You will be excited to explore the opportunities and risks of large language models for AI assistance of human decision making, while you will be capable to apply machine learning and computational algorithms of social choice. 

This post is associated with following projects: 

  • Embedding EDI in the Distribution of Research Funding: An AI-assisted Collective Intelligence Approach, AI for Collective Intelligence Hub
  • Digitally-assisted Collective Governance of Smart City Commons (ARTIO), UKRI Future Leaders Fellowship

This role will be based at the university of Leeds campus and there is scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.


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

Professor Evangelos Pournaras, Professor of Trustworthy Distributed Intelligence 

Tel: +44 (0)113 343 4810

Email: E.Pournaras@leeds.ac.uk 


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 the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.


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!  


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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Engineering & Physical Sciences
School/Institute
School of Computer Science
Category
Research
Grade
Grade 7
Salary
£41,064 to £48,822 p.a.
Due to funding restrictions, an appointment will not be made higher than £43,482 p.a.
Working Time
37.5 hours per week
Post Type
Full Time
Contract Type
Fixed Term (From 01 November 2025 until 31 October 2026 - To complete specific time limited work)
Release Date
Friday 22 August 2025
Closing Date
Sunday 21 September 2025
Reference
EPSCP1175
Downloads
Candidate Brief (PDF)
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