Lecturer in Artificial Intelligence Education (AEP) x2

Kings College London
London
4 weeks ago
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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 1. PhD in computer science, artificial intelligence or related field 2. Ability to teach at FHEQ level 7 (Master’s level) across AI foundations and machine learning to learners from varied academic and professional backgrounds. 3. Ability to develop and deliver high quality and innovative teaching, including teaching delivered by distance learning or online methods 4. Commitment to high quality, learner centred education and to shaping a leading online programme in applied artificial intelligence. 5. Proven ability to collaborate across disciplines and contribute to a dynamic, outward facing programme team. 6. Strong organisational skills, enabling management of curriculum development and delivery alongside any scholarship activity Desirable criteria 1. Experience of online teaching and assessments, digital learning design, or innovative pedagogical approaches (highly desirable) 2. Evidence of pedagogical or education-focused scholarship outputs (e.g. publications in education journals). ## Further information The selection process will include a video presentation, an online Q&A session, and an online panel interview. Shortlisted candidates will be asked to submit a video presentation on a topic (date and topic will be provided after shortlisting) This will be reviewed by department members and will be followed by an online Q&A Sessions in the week beginning 4th May . Online panel interviews are scheduled to be held in the week beginning 11th May . Timings and information for all sessions will be confirmed to the shortlisted candidates after shortlisting. Note: While every effort will be made to adhere to the above timetable, last minute changes may be possible due to factors outside our control. At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. 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 person specification section of the job description. 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. We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day. We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application. To find out how our managers will review your application, please take a look at our ‘ [How we Recruit]( pages.

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