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A leading institution in London seeks a Teaching Assistant in Artificial Intelligence for Business. The role involves supporting lectures, delivering seminars, and marking coursework. Ideal candidates will have a Master's degree and knowledge of AI, along with teaching experience. This is a part-time, fixed-term position on-site, offering a unique opportunity to contribute to innovative educational programs in a dynamic environment.
Ref Number: B04-06113
Professional Expertise: Teaching, Teaching Support and Examination Support
Department: UCL BEAMS (B04)
Location: London
Working Pattern: Part time
Salary: See advert text
Contract Type: Fixed-term
Working Type: On site
Available for Secondment: No
Closing Date: 23-May-2025
The UCL School of Management is home to UCL’s business and management research and education programmes. The School is renowned for world-leading research and teaching in innovation management, technology-intensive organizations, business analytics, and entrepreneurship.
In 2021, the REF rated the majority of the research outputs as “world-leading” or “internationally excellent,” with 95% being the second highest in the UK among business schools.
The School has over 2,000 students, more than 55% of whom are international students. It collaborates extensively across UCL departments, including computer science, engineering, economics, psychology, public policy, statistics, and medical sciences.
This is an exciting time as the School plans to double in size over the next five years, expanding degree programs and staff to develop socially conscious entrepreneurial leaders.
Teaching Assistants (TAs) will support academic lectures by delivering group teaching such as seminars and workshops, and will perform associated duties including marking coursework and exams.
The post reports to the module leader and is available from 22 September 2025 to 30 June 2026.
This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. More details are available at UCL HR Conditions.
This role does not qualify for UK Skilled Worker Visa sponsorship.
For the full job description and person specification, please refer to the attached documents at the bottom of this page. For queries, contact mgmt-hrsom@ucl.ac.uk.
The ideal candidate will demonstrate:
Applicants should refer to the attached job description and person specification, and include examples in their supporting statement demonstrating how they meet these criteria.
We value diversity and are committed to equality of opportunity. We encourage applications from underrepresented groups, including those from Black, Asian, and ethnic minority backgrounds, disabled persons, and women in Grade 9 and 10 roles.