Lecturer in Urban Data Science

Leeds, United Kingdom
£41,526 to £49,553 p.a.
Aug 13, 2020
End of advertisement period
Sep 11, 2020
Contract Type
Full Time

Are you an academic with the capability, inventiveness and initiative to collaborate with our established team in urban analytics and drive this activity to higher levels? Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University? Are you determined to attract research funding and develop high-quality publications in urban data science?

Cities are now home to the majority of the world’s population and are drivers of economic growth, wealth creation, arts and culture, social interaction, and wellbeing. They also present huge inequalities in health, affluence, education, and lifestyle, with persistent challenges for management, administration, and policy. For example, alongside an existing global market of £400 billion for smart city technology, the UN estimates that $350 trillion, or five times global GDP, needs to be spent on urban infrastructure to address urgent needs.

At Leeds we have an established urban analytics group that is focused on the development and exploitation of data science and artificial intelligence approaches alongside spatial analysis, geostatistics and multi-disciplinary research methods for understanding and simulating urban areas. Our research in urban analytics has critical mass in the Centre for Spatial Analysis and Policy in the School of Geography, but draws on a wide range of collaborations across the University.

The urban analytics group is fostering innovations, for example, in individual-based modelling, data science, population forecasting, data visualisation, and data assimilation, to create more powerful representations, projections and scenario forecasts for city futures. Advanced statistical approaches are complemented by rigorous theory, for example, by building behaviourally realistic agent-based models to create robust and scalable insights into urban dynamics and behaviour.

We are 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 policymakers and partners in the real world.

Building on this and its long-established global peak of excellence for spatial analysis and geocomputation, Leeds is taking a leading role in driving the international research agenda for urban analytics. We are now seeking to expand our capability to produce world-class learning in this area through the launch of an ambitious new MSc in Urban Data Science. As well as continuing to develop a strong research trajectory, you will be appointed to lead this course, to undertake the delivery of novel and innovative teaching, and provide the drive and ambition to deliver a world-leading programme that will push our group to new heights. Your research interests should relate to but extend existing capability within our group.

We welcome applications from energetic and ambitious candidates with an emerging reputation in urban data science, spatial modelling and other technologies and interests which are relevant to urban analytics. We are particularly interested in academics pushing new ground in the creative application of machine learning within the urban setting, and those with specific expertise in urban health, urban economics, or sustainability. The successful candidate will be appointed to the School of Geography in the Faculty of Environment, and will also be expected to pursue an agenda of strategic value to LIDA, supporting its alignment with the Urban Analytics programme at the Alan Turing Institute.

We welcome and encourage applications from all sections of the community. For this role we would particularly welcome applications from Female Academics and Academics from BAME backgrounds, as these groups are underrepresented within the Academic staff in the School of Geography. We will select the best candidate solely on the basis of merit and ability to do the job.

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

Professor Ed Manley, Professor of Urban Analytics

Tel: +44 (0)113 343 3356, email:

Location: Leeds - Main Campus
Faculty/Service: Faculty of Environment
School/Institute: School of Geography
Category: Academic
Grade: Grade 8
Salary: £41,526 to £49,553 p.a.
Working Time: 100%
Post Type: Full Time
Contract Type: Ongoing
Closing Date: Friday 11 September 2020
Reference: ENVGE1126
Downloads: Candidate Brief