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Irina Shklovski
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PhD Fellowship on Street-level Bureaucracy of Regulatory Implementation for AI University of Copenhagen in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Funded by the European Commission’s Marie Skłodowska-Curie programme as part of the REGULAIRE Doctoral Network; full-time PhD fellowship for up to 3 years.
Deadline
Nov 22, 2026
Country
Denmark
University
University of Copenhagen
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About this position
The PhD fellowship is hosted by the Human Centered Computing section in the Department of Computer Science at the University of Copenhagen, within the Faculty of Science. The project sits inside REGULAIRE, a Marie Skłodowska-Curie Actions Doctoral Network focused on how regulation can adapt when technologies, risks, and expectations change quickly.
The research topic centers on the street-level bureaucracy of regulatory implementation for AI. The doctoral student will carry out in-depth qualitative studies of how EU digital regulation is implemented in SMEs developing AI-related technologies, with attention to how developers translate regulatory guidance into product and service design and how implementation strategies differ across sectors.
The position is embedded in a highly interdisciplinary human-centered computing environment that works across human-computer interaction, computer supported cooperative work, ubiquitous and pervasive computing, and digital fabrication. The student will join an international cohort and work with researchers across institutions, regulators, standardisation bodies, and international organisations.
The project also includes network activities such as summer schools, methods workshops, monthly paper development seminars, and a planned intersectoral secondment. Supervision is provided within the University of Copenhagen’s Human-Centered Computing section and in collaboration with an information law scholar at the University of Amsterdam.
Funding details
Funded by the European Commission’s Marie Skłodowska-Curie programme as part of the REGULAIRE Doctoral Network; full-time PhD fellowship for up to 3 years.
What's required
Applicants must hold an MSc degree or equivalent in Computer Science, Data Science, HCI, Critical Data Studies, STS, Law and Policy or a related field. A degree equivalent to a Danish Master’s degree is required for the regular PhD programme, specifically in HCI or Computer Science. Good written and oral English skills are required. Applicants should be willing to engage in international mobility, including a planned secondment and network-wide activities. Previous scientific publications, relevant work experience, experience in technology development, qualitative research and fieldwork in organisations, and some understanding of European regulatory and policy concerns around AI systems are encouraged.
How to apply
Apply electronically via the APPLY NOW link. Submit a cover letter, research statement, CV, diplomas and transcripts, publication list if available, and contact details for three references. All application materials must be in English.
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Professors
Professor at University of Copenhagen
Denmark
Research Interests
Law
Human-computer Interaction
Computer Science
European Union Law
Governance
Professor at University of Copenhagen
Denmark
Research Interests
Law
European Union Law
Regulation
Organizational Studies
Sociology
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.