Are you an inspiring lecturer in the field of programming and/or formal methods and techniques? And do you have affinity with the topics of diversity and inclusion? Then pass on your knowledge to the next generation of AI experts in the green, informal and open environment of Radboud University. Help increase diversity in AI by teaching in an inclusive way with attention for the difference in backgrounds of students.
The responsibilities in this lecturing position are threefold. Sixty percent of the position is to be spent on teaching in the Bachelor’s and Master’s programmes in AI, particularly in undergraduate courses in programming, applied mathematics, software engineering, lab skills, formal methods, or similar courses. Our student population is diverse; some students enrol in our programme without any programming experience, while others already have more experience. Your responsibility is to design / redesign and to teach programming and related courses in an inclusive way that acknowledges these differences in background, and to empower our students to become proficient in programming and formal modelling. Twenty percent of the position is reserved as research time, which can be spent, depending on your interests and expertise, on artificial intelligence or cognitive science at the Donders Centre for Cognition, gender and diversity at Radboud Social Cultural Research, or in the didactics of programming education at the Institute for Computing and Information Sciences. You will be expected to stay current in your field of expertise and you are invited to continue to work on collaborative projects or join or initiate new research projects. Finally, 20% of the position is reserved for outreach and impact in diversity, equity, and inclusion in AI, for example, using podcasts, vlogs, social media, hackatons, school visits, or other means.
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