Lecturer in AI & Machine Learning for Sustainable Construction

About us

We are The Bartlett, UCL’s global faculty of the built environment. Individually, our schools and sections lead their fields. In partnership, they develop new responses to pressing world issues. As a whole, they represent a world-leading, multidisciplinary faculty, united by the radical spirit of UCL. Our vision is of a world where everything built aims to add to the well-being of people and the environment. The Bartlett is unrivalled in its breadth and depth of disciplines, programmes, and departments.

Further information about The School is online.

About the role

University College London (UCL) has an exciting opportunity for a Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction. The post holder will be within The Bartlett School of Sustainable Construction (BSSC) at the Bartlett Faculty of the Built Environment, a world-leading faculty ranked #1 in the world for Built Environment studies and #1 in the UK for its research environment. The post holder will carry out teaching, research, and programme administration, in the field of Artificial Intelligence and Machine Learning for Sustainable Construction, consistent with BSSC’s vision and mission. This is an open-ended, full-time position.

About you

The successful applicant will be expected to carry out research and produce high quality publications, or other research outputs; be a leading voice in application of AI in Construction; contribute to the development, planning and implementation of a high-quality curriculum; to teach, inspire and support students at all levels; work with the Department Tutor and teaching teams on implications of AI for assessment; to participate in the administration of The School’s programmes of study and other activities; and, to be the AI lead for the department which is a new enabling role linked to this post.

The appointee is required to have a PhD or equivalent in a relevant field, and experience of teaching support and administration. They will have evidence of conducting and publishing original research, reflected in the authorship of high-quality publications, working papers, or other research outputs.

Your application will be assessed based on how well the criteria within the person specification are met using examples.

This role meets eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants requiring a visa.

For further details including a job description and person specification, visit ucl.ac.uk/jobs and search: Job Ref B04-06108

Closing Date: 26-JUN-2025 – 23:59 (UK time)

What we offer

As well as the exciting opportunities this role presents, we also offer great benefits. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits 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: https://www.ucl.ac.uk/equality-diversity-inclusion/

We consider applications to work on a part-time, flexible and job share basis wherever possible.

Customer advert reference: B04-06108

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