HP-UCL IOE Fellowship in AI in Education 2027: Leadership Opportunity
Applications are open for the HP-UCL IOE Fellowship in AI in Education 2027. This program is designed for senior policymakers and organizational leaders who need to guide the responsible transformation of AI in education. It addresses the challenges faced by leaders who make critical decisions about AI without sufficient evidence or understanding of its impact.
Application Closing Date: November 7, 2026
Location: Global (with a residential week in London)
Programme Duration: 12 months (hybrid)
Stipend: Fully funded (programme costs covered, excluding airfares and visas)
Minimum Qualification: Not specified (designed for senior leaders)
Opportunity Type: Fellowship
About the HP-UCL IOE Fellowship in AI in Education
The HP-UCL IOE Fellowship in AI in Education aims to equip senior leaders with the knowledge and skills to navigate the complexities of artificial intelligence in educational settings. As AI continues to evolve, many leaders are tasked with making significant decisions regarding its use, often without a clear framework for governance or a deep understanding of its implications. This fellowship provides a structured approach to learning about AI’s impact on learning, equity, and trust.
The program brings together experts in AI, learning sciences, policy, ethics, and human-computer interaction. It helps participants move beyond the hype surrounding AI and explore its real-world effects on education and public institutions. By engaging with global peers, researchers, and industry experts, fellows develop learning-centered strategies to foster inclusion, strengthen institutional capacity, and ensure effective AI adoption.
About UCL Institute of Education
The UCL Institute of Education (IOE) is a world-leading institution for education. It has been ranked number one globally for Education in the QS World University Rankings for 13 consecutive years. The IOE is known for its research and expertise in shaping educational policy and practice worldwide.
The institute offers a wide range of programs and research opportunities, contributing significantly to the understanding and improvement of education systems. Its academics work with major international organizations like UNESCO, the OECD, and the European Commission, influencing global education policy.
What the Fellowship Offers
This fellowship offers a comprehensive learning experience designed to foster leadership in AI in education. Successful applicants will benefit from a fully funded program that covers all costs associated with the fellowship itself, though airfares and visas are excluded. Participants will gain access to world-class academic expertise from the UCL Institute of Education, consistently ranked as a top institution globally.
The program includes:
- Structured learning with expert academics whose work informs global AI in education policy.
- A nine-month mentored capstone project focused on a real policy or implementation challenge from the fellow’s work.
- Curriculum covering ethics, governance, procurement, evidence, and scaling to guide effective AI policy.
- Networking opportunities with a select cohort of international senior leaders.
- Membership in a global network of fellows.
Programme Duration and Location
The HP-UCL IOE Fellowship in AI in Education is delivered as a hybrid program over 12 months. It begins with weekly live online sessions covering the foundations, opportunities, and challenges of artificial intelligence in education. This is followed by a one-week residential program in London. The remaining nine months focus on mentorship for a capstone project. The program is open to leaders from Europe, Asia, and Africa, with the residential week taking place in London.
Minimum Requirements
The fellowship is designed for senior education policymakers, system leaders, and organizational leaders working across education, government, and the public sector. While specific academic qualifications are not listed, the program targets individuals in influential roles.
Ideal candidates include:
- Senior education policymakers in ministries, government departments, and national agencies.
- Regulators and inspectorate leaders responsible for education quality, assessment, or data.
- C-suite executives and senior leaders at international edtech companies.
- Senior officials at international organizations focused on education and AI policy.
- Regional and local education leaders, such as Directors of Education and Children’s Services.
- Leaders of school systems, including multi-academy trust and school group CEOs and Directors.
- Leaders of education non-profits, foundations, and professional bodies.
Competencies Required
Selection for the fellowship is based on several criteria that highlight the desired competencies of applicants. These include demonstrated leadership experience and a clear potential for making a significant impact in their field. Applicants should show a capacity to fully engage in all program activities, indicating strong time management and commitment.
Key selection criteria include:
- Relevance of the applicant’s role to AI and education transformation.
- Demonstrated leadership experience and potential for impact.
- Capacity to participate fully in all program activities.
- Commitment to responsible, equitable, and human-centered approaches to AI.
- Strength and clarity of the proposed project idea.
- Potential contribution to peer learning and international collaboration.
Who Should Apply?
This fellowship is ideal for experienced leaders who are actively involved in shaping educational policies and practices, particularly concerning the integration of AI. It suits individuals who are looking to deepen their understanding of AI’s implications and lead their organizations through responsible technological advancements. The program is particularly beneficial for those who want to influence AI strategy at a systemic level.
The fellowship is best suited for individuals who are ready to engage in rigorous academic study, collaborative discussions, and practical application of AI principles in their professional roles. It is for leaders who are committed to fostering inclusive and effective AI adoption in education.
Required Documents
Applicants are required to submit an application through a provided online form. While specific documents are not detailed in the general information, applicants should be prepared to provide information about their professional background, leadership experience, and their proposed project idea. It is advisable to have a current CV and any relevant professional achievements readily available.
The application process will likely require details that demonstrate the applicant’s suitability based on the selection criteria. Applicants should ensure they have clear and concise information about their role and potential impact.
How to Apply
Interested leaders can apply for the HP-UCL IOE Fellowship in AI in Education 2027 through the provided online application link.
Click here to apply for the HP-UCL IOE Fellowship in AI in Education.
For more detailed information about the fellowship, including specific program content and the application process, applicants can visit the official HP-UCL IOE Fellowship page. Applicants should ensure they review all provided information carefully before submitting their application.
Important Notes
Only shortlisted candidates will be contacted. The selection process is competitive, and the program aims to build a diverse cohort of leaders from various professional, institutional, and geographical backgrounds. Applicants should ensure their application clearly demonstrates their leadership experience and commitment to responsible AI in education.
The strength and clarity of the proposed project idea are important factors in the selection process. Candidates are encouraged to articulate how the fellowship will help them address a real-world policy or implementation challenge within their organization or field.
Closing Date
The closing date for applications for the HP-UCL IOE Fellowship in AI in Education 2027 is November 7, 2026. Applicants are encouraged to submit their applications well before this date to avoid any last-minute technical issues.
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