About the role
Key responsibilities include:
- Contributing to the curriculum design, module development, and assessment strategy for the MSc Applied Artificial Intelligence.
- Delivering high-quality online teaching across areas such as reasoning and knowledge representation, search optimisation and decision-making.
- Supporting students in developing critical understanding of the history of AI and how responsible innovation is derived, research methods, and the broader implications of AI technologies across different sectors.
- Ensuring content is accessible and inclusive for a diverse global learner audience with varied academic and professional backgrounds.
- Innovating in digital pedagogy, including asynchronous and synchronous online teaching approaches, interactive content design, and online community building.
- Working as part of the multi-faculty team delivering the MSc and contributing to the wider suite of interdisciplinary AI-focused programmes.
- Contributing to scholarship in teaching and learning in AI education, consistent with the needs of the department and faculty.
- Delivering excellent student support, including acting as Personal Tutor to students on the MSc Applied Artificial Intelligence.
- Where required, undertaking enabling roles such as Senior Tutor or Assessment Sub-Board Chair, as part of the overall full-time workload allocation for the post.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Working Pattern
This is a full-time (35 hours per week) post, and you will be offered an indefinite contract. The role works with a hybrid working pattern. While some on-site presence will be required for team collaboration, events, and programme activities, there is potential for a substantial proportion of working hours to be undertaken remotely.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:
- Ability to teach across AI foundations and more advanced topics of AI to learners from varied academic and professional backgrounds.
- Experience of online teaching, digital learning design, or innovative pedagogical approaches (highly desirable).
- Commitment to high-quality, learner-centred education and to shaping a leading online programme in applied artificial intelligence.
- Willingness to collaborate across disciplines and contribute to a dynamic, outward-facing programme team.
Essential criteria
- PhD in computer science, artificial intelligence or related field
- Ability to teach at FHEQ level 7 (Master’s level) across AI foundations and machine learning to learners from varied academic and professional backgrounds.
- Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods
- Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence.
- Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team.
- Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity
Desirable criteria
- Experience of online teaching and assessments, digital learning design, or innovative pedagogical approaches (highly desirable)
- Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals).
£53,947 to £63,350 per annum, including London Weighting Allowance
