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Accordingly, the successful applicant will need knowledge and awareness of current research and practical challenges in Artificial Intelligence. The Department seeks to broaden and deepen its current strengths in these areas, so candidates engaged in research and teaching which complements that of the existing members of the Department will be considered favourably. Topics of interest in the area of Artificial Intelligence include, but are not limited to, deep learning, Bayesian reasoning and statistical methods, planning, neurosymbolic reasoning, safe and trusted AI, explainable AI, AI accountability, decision making in the presence of uncertainty, algorithmic bias, autonomous systems, and machine learning for vision or natural language processing.