Professor / Associate Professor of Urban Analytics

     
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WorkplaceLeeds, Yorkshire, UK
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Professor / Associate Professor of Urban Analytics

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?

Cities are now home to the majority of the world’s population and are drivers of economic growth, wealth creation, social interaction and well-being. 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 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 fostering ground-breaking innovations, for example, in agent-based modelling, population forecasting, machine learning, synthetic population generation, probabilistic programming, data assimilation and data science, 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 population dynamics and behaviour.

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.

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 looking for an exceptional research leader with the capability, inventiveness and initiative to collaborate with our established team and drive this activity to higher levels. Whilst your research interests may be diverse, they will be complementary to one or more of the challenge areas in which our research is currently focused, including methods related to:

  • using and adapting approaches from artificial intelligence and machine learning to understand cities;

  • modelling and simulation of individual behaviour;

  • urban dynamics, e.g., mobility in real-time or migration over longer time periods;

  • a concern for practical applications of the science with real world impact for policy and urban living, in domains including but not limited to health, transport, crime and retailing.

We welcome applications from energetic and 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. The successful candidate will be appointed to the School of Geography (Faculty of Environment), but will also be expected to pursue an agenda of strategic value to LIDA that is aligned with the Turing’s Programme in Urban Analytics.

In order to maximise your contribution to strategic research leadership, the teaching load for this position will be primarily at a strategic level in Years 1 and 2 of the post.

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

Professor Mark Birkin
Tel: +44 (0)113 343 6838, email: m.h.birkin [at] leeds[.]ac[.]uk

Professor Alison Heppenstall
Tel: +44 (0)113 343 3361, email: a.j.heppenstall [at] leeds[.]ac[.]uk

Grade 9 (£50,132 - £58,089 p.a.) or Grade 10 (within professorial range)

Web jobs.leeds.ac.uk...
In your application, please refer to myScience.org.uk
and reference  JobID 161197.