Research Fellow in Computational Social Science
Are you eager to improve collective decision-making to make cities more sustainable and democratic? Are you fascinated to work with data science, machine learning and computational methods applied on collective decision-making, social choice theory and voting systems?
This is an opportunity to be part of a creative research team working on a new ambitious research programme with several collaboration, training and career development opportunities in industry, cities, and world-leading academic institutes in the UK and Europe. The Distributed and Intelligent Social Computing lab at the University of Leeds will run this unique programme with the aim to empower citizens’ participation in governing common pool resources in Smart Cities such as smart transport, parking and energy systems.
The research programme is designed to offer exceptional access to resources, training and career development opportunities, refer to the Candidate Brief for full details.
The successful candidate will publish high-quality research on the broader area of computational social science, design and perform experiments in collaboration with partners and collaborate with other researchers in an inter-disciplinary team.
What we offer in return
- 25 days holiday plus 15.5 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s over 40 days a year!
- Pension schemes with a generous contribution from the University.
- 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, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
- 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:
Dr. Evangelos Pournaras, Associate Professor
Tel: +44 (0)113 343 5447 or email: E.Pournaras@leeds.ac.uk
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