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Research Fellow (Postdoc) Positions in Smart Cities at the Distributed Intelligent Social Computing Lab | |
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Workplace | Leeds, Yorkshire, UK |
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Research Fellow (Postdoc) Positions in Smart Cities at the Distributed Intelligent Social Computing Lab, School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds. Salary: Grade 7 (£34,304 ’ £40,927 p.a.) Closing date: Thursday 23 June 2022 We will consider flexible working arrangements 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 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. As part of this project, we are hiring for 4 positions: 1. Research Fellow (Postdoc) in Blockchain and Cryptoeconomic Systems (EPSCP1100), 2. Research Fellow (Postdoc) in Multi-agent Reinforcement Learning (EPSCP1099), 3. Research Fellow (Postdoc) in Computional Social Science (EPSCP1098), 4. Research Software Engineer (Full Stack) in Participatory Platforms for Digital Democracy and Governance (EPSCP1101). The research programme is designed to offer exceptional access to resources, training and career development opportunities, refer to the Candidate Brief (on the job page) for full details. Some of these include: - Access to a new laboratory space in the new Sir William Henry Bragg Building of School of Computing and access to Virtuocity, an immersive, ’human in the loop’, simulation and visualisation facility. - A national and an international network of partners that will support the research programme with access to novel real-world data, training and career development opportunities via funded visits and secondments as well as support for field test studies. Partners include among others: the Innovation Hub of Oxfordshire County Council, Novoville, Vivacity, the Urban Traffic Control system of Leeds city, Nesta as well as partners in Switzerland, France and Estonia. - Novel training programmes at the University of Leeds including opportunities for enhancing interdisciplinary research via the Crucible programme or pathways to commercialization and business engagement via the Michael Beverley Innovation Fellowship. | |
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Contact and AddressTo 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.Pournarasleeds.ac.uk How to apply: To apply online and to view the candidate briefs/job descriptions, please visit our website. | |
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In your application, please refer to myScience.org and reference JobID 2311290. |