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Lecturer (Teaching) in Spatial Data Science

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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

This post has two main responsibilities: the primary responsibility is to manage and lead the dissertation module, which involves the coordination of over 100 students, staff and projects as well as external partners; the secondary responsibility is to supervise a subset of those dissertations. The role’s responsibilities include guiding students and supervisors from inception through to the final delivery of their dissertation through a programme of activities in the 2nd and 3rd terms that will help them to: set appropriate aims, objectives and research questions based on a thorough reading of the relevant literature; identify suitable data sources for analysis and navigate the UCL ethics procedures; identify appropriate methodologies and write up their findings. This role is not, however, purely student-facing since the coordination of CASA’s diverse project partners in the public, private, and Third sectors — who contribute data, expertise, and research questions — is also critical, calling for the ability to recognise, respond to, and manage diverse interests and capacities, as well as the ability to communicate clearly and maintain good records. These records should extend to the tracking of ethics applications to the appropriate Review Committee and monitoring of outcomes.

About you

The post-holder will have a PhD in a relevant discipline or professional/academic experience of a commensurate level. They will be an experienced researcher and educator with a track record of supervising students’ extended research projects and curriculum development of Masters-level courses, and be familiar with the computational methods we employ and with one or more of the active research domains in CASA. The post requires excellent organisational and administrative skills, as well as a good understanding of the (quantitative) research process. The ability to manage diverse relationships with students, academics, and private, public, and Third sector organisations such that all parties feel both supported and held to account for timely delivery and communication is essential.

What we offer

As well as the exciting opportunities this role presents, we also offer great benefits. Please visit to find out more.

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. You can read more about our commitment to Equality, Diversity and Inclusion here:

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