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A leading university in London seeks a Senior Lecturer to develop AI strategies in education. This full-time role involves collaboration with various departments and providing guidance on best practices in using AI and teaching assessment. Ideal candidates will have a PhD and extensive experience in enhancing teaching quality. Flexible working arrangements are supported, with a hybrid role expected.
King's Academy works closely with staff, students and external partners in fostering and supporting the teaching and learning experience for students at King's. We focus on driving continuous improvement in education and empower colleagues through evidence informed practice. Working in partnership with faculties, staff, students and external collaborators, we create opportunities to focus on improving educational practices and promoting a progressive academic culture. These include events, workshops, partnerships, funding opportunities and more.
This role will be a senior institutional lead for developing and implementing a King's approach to ensuring staff are supported in embedding AI appropriately in their teaching and assessment. We are seeking an enthusiastic individual with appropriate experience for the post of Senior Lecturer on the King's Academic Education Pathway (AEP) with a focus on the use of AI in Higher Education. This is an exciting opportunity for candidates looking to develop in a leadership role, and who wish to utilise their skills and expertise in AI best practice. This is an opportunity to grow your skills in policy and strategy development in key areas such academic integrity and the use of AI, opportunities to improve practice through the ethical use of AI and horizon scanning to ensure King's stays at the forefront of AI best practice. We encourage applications from candidates who have experience from both within and outside of the Higher Education sector where they can demonstrate the skills needed to succeed in this role. Bring leadership and strategic direction to ensure the effective development of a coherent and forward-thinking approach to ethically embedding AI in teaching and assessment.
The key responsibilities will be to
Please note as part of King's Academy hybrid working policy, the candidate will be expected to work on campus 60% of the time.
The role is primarily based at King's JCMB Campus though you will be required to travel to other campuses on occasion. As part of King's hybrid working policy, all team members are expected to work on campus for 40-60% of their time. At King's Academy there is an expectation to be on campus 60% of the time, and we would be happy to consider flexible working arrangements should this be required.
This is a full-time (35 hours per week) post, offered on an indefinite Academic Education Pathway contract.
When writing your application, please take care to address all of the essential criteria (and desirable criteria where possible) providing clear and concise examples where applicable
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
Desirable criteria
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ' How we Recruit ' pages.
When writing your application, please take care to address all of the essential criteria (and desirable criteria where possible) providing clear and concise examples where applicable.
Please note that interviews are likely to take place on campus either end December 2025 or January 2026, and we will be in touch with you with further information if shortlisted. The interview will include preparation for a short task, and we will provide you with further information if you are shortlisted.