University of Oslo
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Postdoctoral Fellow in Collaborative Learning and Artificial Intelligence in Higher Education University of Oslo in Norway
Degree Level
Postdoc
Field of study
Computer Science
Funding
Three- or four-year full-time postdoctoral appointment at the University of Oslo. In a four-year position, 25% of the time is devoted to teaching duties. Salary is NOK 595,000 to NOK 670,000 per annum depending on competence and experience, with 2% statutory pension contribution deducted. The post is a fixed-term fellowship intended to build a research profile and career competence.
Deadline
Nov 12, 2026
Country
Norway
University
University of Oslo

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About this position
University of Oslo is advertising a three- or four-year Postdoctoral Fellow position at the Department of Education in Norway. The project focuses on collaborative learning and artificial intelligence (AI) in higher education, especially how students interact with AI tools and infrastructures in specific knowledge domains.
The post is anchored in the learning sciences and uses design-based research (DBR) to study the interaction between students, content, context, and AI. The successful candidate will work with the KITE research group and may collaborate with other groups at the Faculty of Educational Sciences. The project is also part of KITE’s AI-related work in the TRUST center (The Norwegian Centre for Trustworthy AI).
Research interests/keywords: collaborative learning, AI in education, learning sciences, educational sciences, educational psychology, human-computer interaction, learning analytics, digitalization, design-based research, higher education.
Eligibility highlights: applicants need a PhD in learning sciences, educational sciences, educational psychology, or human-computer interaction studies. The dissertation should relate to learning theory, cognitive theories, learning environments, DBR, digitalization, or AI in higher education. A thesis involving intelligent technologies is preferred. English proficiency is required; Norwegian is an advantage.
Funding and terms: full-time fixed-term postdoctoral appointment. In a four-year appointment, 25% of time is devoted to teaching. Salary is NOK 595,000–670,000 per year depending on competence and experience.
Deadline: 12 November 2026.
How to apply: submit a cover letter, 7–8 page project description with progress plan and 3–4 papers, CV, PhD diploma or thesis submission proof, transcripts, publication list, selected works, and 2–3 references through Jobbnorge. Incomplete applications will not be assessed.
Contact persons: Professor Sten Runar Ludvigsen and Professor Crina Damsa at the University of Oslo.
Funding details
Three- or four-year full-time postdoctoral appointment at the University of Oslo. In a four-year position, 25% of the time is devoted to teaching duties. Salary is NOK 595,000 to NOK 670,000 per annum depending on competence and experience, with 2% statutory pension contribution deducted. The post is a fixed-term fellowship intended to build a research profile and career competence.
What's required
Applicants must have a PhD in learning sciences, educational sciences, educational psychology, or human-computer interaction studies. The PhD thesis should cover learning theory, cognitive theories applied to learning, design of learning environments, design-based research methods, digitalization and AI in higher education, or related K-12 studies. Candidates with a dissertation involving interaction with intelligent technologies are preferred. The doctoral dissertation must be submitted for evaluation by the closing date, and appointment depends on public defense approval. Proficiency in English is required; fluent written and spoken Norwegian is an advantage. Strong collaboration, communication, independent working ability, and commitment to project goals are expected.
How to apply
Prepare a cover letter with motivation, scientific work summary, and project proposal; a 7–8 page project description with progress plan and 3–4 papers; CV; PhD diploma or thesis submission documentation; transcripts; publication list; selected academic works; and 2–3 references. Submit the full application with attachments in the Jobbnorge electronic recruiting system. All documents should be in English or a Scandinavian language.
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