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Lecturer in Urban Data Science

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

Cities are home to the majority of the world’s population, and drivers of economic growth, wealth creation, arts and culture, and social interaction. They also present huge challenges in the form of social inequalities in health, affluence, education, and lifestyle, with persistent challenges for management, administration, and policymaking. 

At Leeds we are making significant contributions towards meeting these challenges. Through our strong and established research expertise in urban data science, our work focuses on the development, exploitation, and education in data science for cities. Our group contributes world-leading innovation in machine learning methods, spatial analysis, and spatial simulation for understanding and predicting activity in urban areas. This group has critical mass in the Centre for Spatial Analysis and Policy in the School of Geography, and draws on a wide range of collaborations across the University. The school itself has a world-leading reputation for research in geography, and ranked fifth nationally on research quality at REF2021. 

The work of the group is supported by interactions with the Leeds Institute for Data Analytics (LIDA). LIDA is an interdisciplinary research centre providing computational resources, as well as the intellectual and physical space for researchers to come together to collaborate and grow ideas. We also benefit from close partnership with the Alan Turing Institute and its Urban Analytics Programme. Both provide our group with access to active collaborations with policymakers and external partners, allowing us to produce relevant and impactful research.

We are now seeking to further expand our academic team. We are seeking applications from energetic and ambitious academics with an emerging reputation in urban data science, spatial modelling, and other technologies relevant to urban analytics. As well as continuing to develop a strong research portfolio, you will be appointed to undertake the delivery of innovative teaching, contributing to the delivery of our world-leading programmes in spatial data science. The role will contribute directly to our ambitious and highly successful MSc in Urban Data Science and our MSc in Environmental Data Science, launching in 2024. 

Your research interests should relate to and may extend existing capability within our group. However, 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, economics, mobility, consumer behaviour, sustainability, or urban complexity. 

We particularly encourage applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates as they are under-represented within our university at this level.

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

Professor Ed Manley, Professor of Urban Analytics


Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Environment
School/Institute:  School of Geography
Category:  Academic
Grade:  Grade 8
Salary:  £45,585 to £54,395 p.a.
Nick Malleson, Nik Lomax, and Myles Gould
Working Time:  100%
Post Type:  Full Time
Contract Type:  Ongoing
Release Date:  Tuesday 30 January 2024
Closing Date:  Thursday 29 February 2024
Reference:  ENVGE1227
Downloads:  Candidate Brief  
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