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Research Fellow in Artificial Intelligence for Digital Democracy

University of Leeds - Faculty of Engineering & Physical Sciences - School of Computer Science

Location: Leeds
Salary: £41,064 to £48,822 p.a. Due to funding restrictions, an appointment will not be made higher than £43,482 p.a. Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd August 2025
Closes: 21st September 2025
Job Ref: EPSCP1175

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.

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