Research Fellow in Urban Analytics

About us

The Bartlett Centre for Advanced Spatial Analysis (CASA) is globally recognised as a leading academic department, researching and teaching the science of cities. A truly interdisciplinary centre, with staff hailing from backgrounds in subjects as diverse as Geography, Transport Studies, Mathematics, Physics, Computer Science, Statistics, Planning, Architecture, the Humanities and the Social Sciences, for more than 20 years we have been combining theory with novel data, sensors, computational models, analysis and cutting edge visualisation to generate new knowledge and insights addressing problems with a spatial dimension and an urban and regional focus.

About the role

We are seeking a highly motivated and skilled Research Fellow to join our interdisciplinary team, as part of TRACK-UK, a 2-year ESRC project that brings together researchers from UCL and the Alan Turing Institute. The overall goal of this project is to develop methods, datasets, and training materials for facilitating research on impacts of UK’s net-zero strategy. The postholder will be responsible for developing and delivering a package of work focused on developing tracking individual and small-area level mobility and energy demand from existing data sources available from the UK Data Service and ONS Integrated Data Service, and methods development for generating synthetic populations using the latest Census 2021/22 data. This effort will build on existing methods and frameworks, including Bayesian estimation of population-level trends and SPENSER (a synthetic population estimation and projection model) from the Alan Turing Institute. The post is available from 01 October 2024 and is funded until 30 September 2026 in the first instance. Starting salary offered will be in the range of £42,099 - £45,521 per annum (pro rata for a part time role) inclusive of London Allowance, due to limited amount of funding available.

About you

The postholder will have a PhD in a relevant discipline – which might be either more technical or related to the substantive topic area. Disciplines such as Transportation, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Geography, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have experience of working with large databases, particularly those that contain geospatial data; experience of applying technical skills to solve real-world problems; strong background in urban analytics, transport; proficiency in programming languages such as Python or R or other languages; sufficient breadth and/or depth of knowledge in specialist subject and of quantitative research methods and techniques to work within the subject area.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

Closing date: 11-08-2024 - 23.59 (UK time)

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