University of Copenhagen
3 days ago
Postdoctoral Researcher in Mechanistic Understanding of AI Reasoning at the University of Copenhagen University of Copenhagen in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 30, 2026
Country
Denmark
University
University of Copenhagen

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About this position
Postdoctoral Researcher position in Mechanistic Understanding of AI Reasoning at the University of Copenhagen, within the CopeNLU group and the Pioneer Centre for AI. The project focuses on how large language models acquire, integrate, and reason over evolving, pluralistic knowledge using mechanistic interpretability methods.
The research may include developing novel conceptual frameworks, methods, or empirical studies. The postdoc will also contribute to teaching or supervision to a small degree. The broader research environment emphasizes fair and accountable NLP, interpretability, explainability, bias detection, fact checking, and cross-cultural learning.
Eligibility: applicants should hold a PhD degree or equivalent in Computer Science or a related field, with strong written and oral English skills. Prior publications and relevant work experience are important, and background in Natural Language Processing, Machine Learning, and/or Explainable AI is preferred.
Funding and terms: the appointment is for two years, with possible extension depending on funding availability. Salary starts at 39,900 DKK/month (approx. 5,300 EUR, August 2026 level) plus employer pension contribution. The position is located in central Copenhagen, Denmark.
Application window: deadline is 30 September 2026, 23:59 CET. Apply online through the recruitment portal and submit the required documents: cover letter, research plan, CV, diplomas, publication list, three relevant papers, and three references.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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