Lecturer in AI Visa Sponsorship Uk

Job Description

Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

• Ref Number: B04-06108
• Professional Expertise: Academic
• Department: UCL BEAMS (B04) / The Bartlett School of Sustainable Construction (BSSC)
• Location: London
• Working Pattern: Full-time
• Salary: £54,172 – £63,752
• Contract Type: Permanent
• Working Type: Hybrid
• Secondment Available: No
• Closing Date: 26-Jun-2025
• Interview Date: Week commencing 28-Jul-2025 (in-person)

About UCL and The Bartlett

University College London (UCL) is one of the world’s leading universities, known for its radical spirit and commitment to tackling pressing global challenges. This exciting opportunity is based within The Bartlett School of Sustainable Construction (BSSC), part of The Bartlett, UCL’s global Faculty of the Built Environment.

The Bartlett is consistently ranked #1 in the world for Built Environment studies and #1 in the UK for its research environment. Comprising 12 Schools, Centres, and Institutes, The Bartlett provides world-leading, multidisciplinary teaching and research to over 4,000 students annually. Our vision is to create a built environment that actively contributes to human and environmental well-being, fostering new responses to complex world issues.

About the Role

UCL is seeking a dynamic and innovative Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction. This permanent, full-time position offers a unique opportunity to shape the future of sustainable construction through teaching, research, and leadership within the BSSC.

As a Lecturer, you will:

• Lead Research: Conduct cutting-edge research in Artificial Intelligence and Machine Learning applied to sustainable construction, producing high-quality publications and becoming a leading voice in the field.
• Inspire Teaching: Develop, plan, and deliver engaging teaching across all levels, inspiring and supporting students in AI for sustainable construction. Collaborate with teaching teams on integrating AI considerations into assessments.
• Drive Departmental Strategy: Serve as the designated AI Lead for the department, a new and enabling role central to advancing the school’s vision and mission in this critical area.
• Contribute to Administration: Participate actively in the administration of The School’s programmes of study and other departmental activities.

About You

The successful candidate will be an exceptional academic with a passion for the intersection of AI, Machine Learning, and sustainable construction.

Essential Requirements:

• A PhD or equivalent qualification in a relevant field.
• Demonstrable experience in teaching support and programme administration.
• A strong track record of conducting and publishing high-quality original research in Machine Learning and Artificial Intelligence, specifically applied to construction or the built environment, evidenced by publications, working papers, or other research outputs.

Skills & Attributes:

Excellent communication and interpersonal skills, enabling effective engagement with students, staff, and external stakeholders.

Ability to work collaboratively and harmoniously within a diverse academic environment, respecting individuals from all cultures and backgrounds.

A proactive and innovative approach to integrating AI into curriculum and research within the built environment.

How to Apply

Your application will be assessed based on how well you meet the criteria outlined in the person specification, using concrete examples to demonstrate your experience and skills. A cover letter is required as part of your application.

For further details, including a full job description and person specification, please click the ‘Apply Now’ button.

UCL is a sponsoring employer; therefore, we welcome applications from international applicants who require a Skilled Worker or Global Talent visa under UK Visas and Immigration legislation.

What We Offer

UCL is committed to supporting its staff with a comprehensive benefits package, including:

• Generous Leave: 41 days annual leave (27 days annual leave, 8 bank holidays, and 6 closure days).
• Flexible Options: Option to purchase an additional 5 days annual leave.
• Pension Scheme: Defined benefit career average revalued earnings (CARE) pension scheme.
• Financial Support: Cycle to Work scheme, season ticket loan, immigration loan, and relocation scheme for eligible posts.
• Work-Life Balance: On-site nursery and gym facilities, enhanced maternity, paternity, and adoption pay.
• Well-being: Employee Assistance Programme (Staff Support Service) and discounted medical insurance.

Our Commitment to Equality, Diversity, and Inclusion

As London’s Global University, UCL believes that diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where everyone belongs. We particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce, including individuals from Black, Asian, and ethnic minority backgrounds; disabled people; LGBTQI+ people; and, for Grade 9 and 10 roles, women.

We also welcome applications for part-time, flexible, and job share arrangements wherever possible.

You can learn more about our commitment to Equality, Diversity, and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/