University of Copenhagen Recruitment 2026: Postdoctoral Position in AI Systems Engineering | CAISA | Apply Now
University of Copenhagen Recruitment 2026: Postdoctoral Position in AI Systems Engineering | CAISA | Apply Now
The University of Copenhagen has invited applications for a full-time Postdoctoral Position in AI Systems Engineering at the National Center for AI in Society (CAISA). The position offers an exciting opportunity to contribute to interdisciplinary research on Responsible Artificial Intelligence (AI) as part of a major national initiative in collaboration with Statistics Denmark.
The appointment is for two years and is based in Copenhagen, Denmark, with the expected start date of 1 October 2026 or as soon as possible thereafter.
Position Details
Organization: University of Copenhagen
Centre: National Center for AI in Society (CAISA)
Faculty: Faculty of Social Sciences
Post: Postdoctoral Researcher – AI Systems Engineering
Job Type: Full-time
Duration: Two Years
Location: Copenhagen, Denmark
Expected Start Date: 1 October 2026 (or as soon as possible thereafter)
About CAISA
The National Center for AI in Society (CAISA) is Denmark's interdisciplinary national research consortium established under the Danish Government's strategic AI initiative. Led by the University of Copenhagen in collaboration with the Pioneer Centre for AI, CAISA brings together researchers from multiple disciplines to develop responsible, transparent, and socially beneficial artificial intelligence.
The Centre works closely with Statistics Denmark and provides researchers with secure access to large-scale administrative and register datasets to support evidence-based AI research.
Research Focus
The selected postdoctoral researcher will contribute to research in:
AI Systems Engineering
Responsible Artificial Intelligence
Trustworthy AI
AI Infrastructure
Large-scale Data Analytics
Secure Data Access
Interdisciplinary AI Research
Statistical and Computational Methods
AI for Public Policy and Society
The position is part of CAISA's broader research initiative, including the ambitious project:
"Responsible Algorithms for All of Denmark."
Key Responsibilities
The successful candidate will:
Conduct high-quality research in AI Systems Engineering.
Develop methods for responsible and trustworthy AI.
Collaborate with researchers from multiple disciplines.
Work with secure large-scale register data.
Contribute to research publications and scientific dissemination.
Participate in collaborative national AI research projects.
Support the development of AI infrastructure and research tools.
Research Environment
The selected candidate will become part of an interdisciplinary research team consisting of 4–5 postdoctoral researchers and faculty members working across multiple work packages related to responsible AI.
The project promotes collaboration between computer scientists, statisticians, social scientists, and AI researchers to address societal challenges through innovative AI technologies.
Eligibility
The ideal candidate should have:
A Ph.D. in a relevant field such as:
Artificial Intelligence
Computer Science
Machine Learning
Data Science
Software Engineering
Statistics
Information Systems
Computational Social Science
Related disciplines
Strong research background in AI or data-driven systems.
Experience with interdisciplinary research and scientific publications.
Excellent analytical, programming, and communication skills.
Why Join the University of Copenhagen?
Work at one of Europe's leading research universities.
Join Denmark's flagship initiative on Responsible AI.
Collaborate with internationally recognized AI researchers.
Access secure national-scale datasets through Statistics Denmark.
Contribute to research with significant societal impact.
Enjoy an international and collaborative academic environment.
How to Apply
Interested candidates should submit their application through the University of Copenhagen's official recruitment portal, along with all required supporting documents as specified in the official vacancy announcement.
Applicants are encouraged to carefully review the eligibility criteria, required documentation, and application instructions before submitting their application.
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