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Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

UCL Eastman Dental Institute
London
1 week ago
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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

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

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National AI Awards 2025

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