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The University of Copenhagen invites applications for a PhD fellowship in Street-level Bureaucracy of Regulatory Implementation for AI, part of the REGULAIRE network. The start date is February 1, 2027 or as soon as possible thereafter.
The program offers supervision across institutions and intersectoral secondments with regulators and standards bodies. Applicants should hold a MSc degree in CS or related fields and demonstrate strong English skills; publications and mobility are encouraged.
The Human Centered Computing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD fellowship on Street-level Bureaucracy of Regulatory Implementation for AI.
The start date is expected to be 1 February 2027 or as soon as possible thereafter.
This doctoral position is part of REGULAIRE (Regulatory Learning for the Governance of Transformative Technologies) is a Marie Skłodowska-Curie Actions Doctoral Network bringing together 15 doctoral candidates at ten European universities to study how regulation can learn and adapt in situations where technologies, risks, and expectations change quickly. Its projects examine how regulators sense emerging problems early, how balanced interventions encourage learning without overcorrection or underreaction, how such interventions alter institutional capacities, and how feedback can be institutionalised so that insights travel across organisations and jurisdictions.
The PhD student’s research is expected to conduct in-depth qualitative studies of how EU digital regulation (e.g., AIA, DSA) is technically and organisationally implemented in SMEs developing AI-related technologies. The goal is to map developers’ translation of regulatory guidance into product and service design and compares implementation strategies across sectors. This project offers a focused route into human-centred computing, sociotechnical research and the study of regulation in practice. You will join an international cohort, receive supervision across institutions and take part in three residential summer schools, methods workshops, monthly paper development seminars and joint work with regulators, standardisation bodies and international organisations. Every project includes a planned three-month intersectoral secondment.
The PhD student to be recruited in this call is expected to define their PhD project within the scope of the overall project and collaborate with the larger project team.
The position will be within the Human Centered Computing section (HCC). The Human Centered Computing section is a highly interdisciplinary group that conducts research within the areas of Human-Computer Interaction, Computer Supported Cooperative Work, Ubiquitous and Pervasive Computing, Digital Fabrication and related fields. Our section aspires to be a top research environment that bridges technology, theory, and empirical studies. The Human Centered Computing research environment at the University of Copenhagen is internationally leading, as evidenced by it’s ranking as second in Europe according to CSRankings. Further information about research at the Department is available here: https://di.ku.dk/english/research/ .
This position will be co-supervised by Irina Shklovski (email: ) and Naja Holten Møller (email: ) at the University of Copenhagen in the Department of Computer Science, Human-Centered Computing section. The PhD will be conducted in collaboration with Joris Van Hoboken, Professor of Information Law, with special emphasis on Law and Digital Infrastructure at the Institute for Information Law (IViR), Faculty of Law, University of Amsterdam
The ideal candidate would have an educational background or prior work experience in technology development, prior experience in qualitative research and fieldwork in organisations, and some understanding of European regulatory and policy concerns around AI systems.
A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish Master’s degree.
To be eligible for the regular PhD programme, you must have completed a degree programme equivalent to a Danish Master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the position, i.e. HCI or CS. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
REGULAIRE is funded by the European Commission’s Marie Skłodowska-Curie programme and to be eligible for this funding you must meet the following criteria:
Please ensure that this information is clear on your CV. Researchers can be of any nationality.
Employment as a PhD fellow is full time, on site in Copenhagen, and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific position formulated by the applicant.
Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.
The deadline for applications is November 22, 23:59 GMT +1.
The assessors will assess the qualifications and experience of the shortlisted applicants with respect to the above-mentioned research area, skills and other requirements. The assessed applicants will have the opportunity to comment on their assessments. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in December
For specific information about the PhD fellowship, please contact
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.