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 that’s 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. It is made up 12 Schools, Centres, and Institutes, providing teaching and research in a wide range of subject areas to over 4,000 students each year from across the world.
Further information about The School can be found 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 based at 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 within BSSC, in the field of Artificial Intelligence and Machine Learning for Sustainable Construction, consistent with the vision and mission of The School. 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 in machine learning and artificial intelligence for construction/built environment
The successful candidate will be able to work harmoniously with staff and students of all cultures and backgrounds and possess excellent communication and interpersonal skills that support engagement with students, staff, and external stakeholders.
Your application will be assessed based on how well the criteria set out in the person specification are met using examples to demonstrate this. A cover letter is required. Please read the Candidate Guidance document below.
This role meets the 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 who require a visa.
For further details including a job description and person specification, please click ‘Apply Now’.
Interviews will be held in person week commencing 28 July 2025
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
- 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
- Additional 5 days’ annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-Site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
Discounted medical insurance
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 will consider applications to work on a part-time, flexible and job share basis wherever possible.
