AI and Education Specialist

London School of Economics and Political Science; London; Hybrid; GBP 53,000 - 62,000; Full time

Job summary

An innovative university is seeking an AI and Education Specialist to drive transformative initiatives in teaching and learning. This fixed-term role focuses on harnessing AI technologies to enhance educational practices and foster a collaborative community of practice. The successful candidate will work closely with academic staff and external experts, ensuring effective implementation of projects and supporting course redesign. With a commitment to professional development and hybrid working options, this position offers a unique opportunity to shape the future of education at a prestigious institution.

Benefits

Occupational Pension Scheme

Generous Annual Leave

Excellent Training Opportunities

Hybrid Working

Qualifications

• Professional qualification in education or equivalent.
• In-depth knowledge of AI tools in education.

Responsibilities

• Support AI and Education Fellowship projects implementation.
• Advise on best practices in AI-enhanced teaching.

Skills

Emerging Technologies in Education

AI Tools

Technology-Enhanced Learning Solutions

Persuasive Presentations

Teaching Support

Education

Professional or Postgraduate Qualification in Education

Advance HE/HEA Fellowship or Equivalent

Job description

LSE is committed to building a diverse, equitable and truly inclusive university

Eden Centre for Education Enhancement and Digital Skills Lab

AI and Education Specialist

Salary from £53,204 to £61,301 pa inclusive with potential to progress to £68,119 pa inclusive of London allowance

This is a fixed term appointment for 2 years

LSE's new AI and Education Fellowship programme is an exciting two-year initiative designed to explore the potential of AI in transforming teaching, learning, and assessment across the institution. The programme offers dedicated resources, expert guidance, and access to cutting-edge tools, enabling Fellows to reimagine courses and pilot innovative, student-centred approaches. The programme will contribute to a growing community of practice, helping to shape the future of education at LSE and inspire wider innovation.

The AI and Education Specialist will play a pivotal role in ensuring the success of this initiative. Reporting to the Head of Digital Education Futures and Deputy Director of the Eden Centre, with a dotted line to the Head of the Digital Skills Lab, the post-holder will ensure that AI and Education Fellowship projects have the necessary support to be effectively implemented. This includes providing advice to Fellows on best practices in AI-enhanced teaching, supporting course and assessment redesign, facilitating the adoption of innovative teaching methods, and commissioning technical work when needed.

The successful candidate will also contribute to wider strategic and practical guidance on using artificial intelligence technologies to augment teaching and learning, collaborating closely with academic staff, experts across the School, and external providers. This role requires a proactive, innovative, and collaborative approach to embedding new digital tools in education and fostering a dynamic community of practice.

The ideal candidate will have:

• A professional or postgraduate qualification in an education related area, Advance HE/HEA Fellowship or equivalent.
• In-depth knowledge of emerging technologies in education, including AI tools.
• A proven track record of designing and implementing technology-enhanced learning solutions, including producing documentation and/or training and development activities.
• Experience of teaching and/or supporting student learning.
• The demonstrated ability to deliver persuasive and inspiring presentations to different audiences

We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.

For further information about the post, please see the how to apply document , job description and the person specification .

To apply for this post, please go to www.jobs.lse.ac.uk If you have any technical queries with applying on the online system, please use the "contact us" links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email Stella Ekebuisi on [e-mail] .

The closing date for receipt of applications is 28 May 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications. Interviews will take place the week commencing 6 June 2025.