National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

UCL Eastman Dental Institute
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lecturer in Data Science and Analytics

Lecturer in Data Science and Analytics

Lecturer / Senior Lecturer in Artificial Intelligence and Applications

Computing Lecturer

Lecturer in Computing (Data Analytics) (HE)

Lecturer in AI & Data Science

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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.