PhD position in Relational Learning in AI-rich Business Education

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Testo originale dell'annuncio (in inglese)

The Department of Management, Society and Communication invites applications for a PhD position in Relational Learning in AI-rich Business Education at the Department of Management, Society and Communication (MSC). The expected start date is 1 February 2027. MSC carries out multidisciplinary research on the relationship between business and society. Its faculty explore the conditions and practices of responsible management, organisation and governance in a globalising world, sharing a particular concern with culture, communication and context as lenses to understand the interaction and interdependencies of business and society. MSC’s contribution to the study of responsible business and governance is organised around various research environments. Further information is available here: https://www.cbs.dk/research/department-management-society-and-communica… . Generative AI is often framed as a tool for individualisation: it responds to a single student, on demand, outside the classroom, and outside the presence of others. Yet management education has long depended on relational learning. Students learn by interacting with each other and with faculty through dialogue, disagreement, and co-construction of meaning — a process central to developing reflexivity, judgement, and the ability to collaborate. This PhD explores a concern raised directly by this tension: that AI's individualising tendency may quietly erode the relational fabric of learning, even as it is adopted with good pedagogical intentions, and that this can show up in practice as declining class attendance and study intensity. The PhD application should reflect an independently formulated research project addressing questions about relational learning as they relate to the use of AI in business education. We would be interested in projects that engage with questions around, for instance and not limited to, how the integration of generative AI changes the conditions for relational learning and classroom interaction, pedagogical designs that sustain collaborative, dialogical learning and encourage students to keep showing up for it, how assessment, particularly exam formats, can be redesigned to both function as a learning activity and credibly evaluate learning that is AI-supported and relationally produced, and questions of academic ethics raised by the use of AI for learning. We welcome applicants with backgrounds in management learning, educational science, organisation studies, psychology, sociology, or related fields. What matters most is a genuine interest in both the theoretical questions the project raises and hands-on, design-based experimentation with pedagogy and assessment. The PhD will be hosted in the department's Communication, Organisation and Governance research cluster . About the PhD programme The three-year PhD programme at CBS gives you the opportunity to conduct research under the supervision of CBS’s associate professors and professors, supported by research related PhD courses. The programme is highly international, and you are expected to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research/phd-programme . CBS PhD graduates are held in high esteem not only in academia and research institutions but also in government and business where their research qualifications are in high demand. CBS is committed to ensuring excellence, transformative and relevant teaching and research. Candidates who wish to join us must be interested in working in an organisation of this type and it is expected that the applicant shows an interest in joining the department's research environments. You can read more about the department's research here: https://www.cbs.dk/en/research/department-management-society-and-commun… . Application and admission requirements The department will give priority to