AI+ Professor of Education (AI Lead on Learning, Teaching & Assessment)

Overview

King's College London is offering a senior education-focused professorial appointment as the AI Lead on Learning, Teaching & Assessment within the Department of Research Strategy & Development. This role is part of a major strategic investment in Artificial Intelligence designed to shape the future of education in an AI-enabled world, drive innovation, influence institutional strategy, and support the responsible integration of AI into teaching, learning, and assessment. The appointed professor will collaborate with the growing AI+ community, including the King's Institute for Artificial Intelligence, and work alongside the Vice President for Education & Student Success to contribute to the broader education agenda and accelerate the deployment of AI research and education.

Who can apply

This position is open to candidates seeking a permanent academic role at King's College London in the United Kingdom. Sponsorship is available for individuals who do not currently possess the right to work in the UK.

What you get

The position is a full-time, permanent appointment based on site. The stated salary is £0 per annum.

Requirements

Applicants must submit a curriculum vitae that includes a publication list alongside a concise supporting statement of a maximum of two pages. The supporting statement must detail reasons for applying, motivations, research interests, educational vision, future ambitions, the departments or faculties the candidate best aligns with, and evidence of how they meet the essential requirements outlined in the person specification. Candidates are also requested to provide two referees, with at least one coming from their current or most recent employer.

How to apply

Submissions must include a CV and the required supporting statement detailing alignment with the person specification. Informal enquiries can be directed to the King's Search Team via email.

Key dates

The closing date for applications is 23.59 hours on Wednesday, November 25, 2026. The selection process involves a two-stage interview process, with final interviews planned for January 2027.