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Professor / Associate Professor of Urban Analytics

University of Leeds - Faculty of Environment: Leeds Institute for Data Analytics (LIDA)

Location: Leeds
Salary: £50,132 + Grade 9 or Grade 10 (within professorial range)
Hours: Full Time
Contract Type: Permanent
Placed On: 13th March 2019
Closes: 8th May 2019
Job Ref: ENVLD1007

Are you an outstanding scholar with the capability, inventiveness and initiative to collaborate with our established team in urban analytics and drive this activity to higher levels? Do you have the ambition to serve as an academic leader who will extend our existing collaborations with the Alan Turing Institute and build relationships with external partners?

At Leeds, we have an established urban analytics group that is focused on the process, structure, interactions and evolution of agents, technology and infrastructure within and between cities across different spatial and temporal scales. A major interest of this group is the development and exploitation of data science and artificial intelligence approaches alongside spatial analysis, geostatistics and multidisciplinary research methods. Our research in urban analytics has substantial critical mass in the Centre for Spatial Analysis and Policy in the School of Geography, but draws on substantial collaborations across many schools and faculties in the University.

The urban analytics group is supported by the infrastructure offered by the Leeds Institute for Data Analytics (LIDA). LIDA is an interdisciplinary research centre providing intellectual and physical space for researchers to come together to collaborate and grow ideas. The urban analytics group also benefits from strong links to the Alan Turing Institute and its Urban Analytics Programme. It seeks to be relevant and engaged, working through active collaborations with policy-makers and partners in the real world.

Leeds is taking a leading role in driving the international research agenda for urban analytics. We are looking for an exceptional research leader to collaborate with our established team and drive this activity to higher levels. We welcome applications from ambitious candidates with an established reputation in smart cities, urban analytics, spatial modelling and other technologies and interests which are relevant to spatial data analytics.

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

Professor Mark Birkin
Tel: +44 (0)113 343 6838, email: 

Professor Alison Heppenstall
Tel: +44 (0)113 343 3361, email:

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