The Department of Informatics is seeking applications from candidates for two positions of Lecturer in Artificial Intelligence Education on the Academic Education Pathway (AEP), starting in January 2022, or as soon as possible thereafter.
The successful applicant for these posts will be primarily focused on teaching in the area of artificial intelligence, with a focus on enhancing educational quality and innovation. They will be assigned to teach on our undergraduate and postgraduate taught programmes and to supervise undergraduate and postgraduate projects on these programmes. The successful applicants will need knowledge and awareness of current research and practice in an area relevant to artificial intelligence. Artificial intelligence is to be understood in its broadest sense, including machine learning, symbolic reasoning, knowledge representation, mathematical and logical foundations for AI, AI engineering, robotics, and applications of AI.
Applicants must have a PhD in artificial intelligence, computer science or a related field. The successful applicants will be part of the Department of Informatics and will be expected to contribute to its wider activities and development. Engagement in research related to artificial intelligence education where applicable in improving research-led teaching on taught programmes is encouraged.
Our staff and students come from all over the world and the Department is proud of its friendly and inclusive culture. Diversity is positively encouraged with a number of family-friendly policies, including the operation of a core hours policy, the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave. The Department of Informatics is committed to ensuring an inclusive interview process and will reimburse up to £250 towards any additional care costs (for a dependent child or adult) incurred as a result of attending an interview for this position.
This post will be offered on an indefinite contract
This is a full-time post - 100% full time equivalent
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