Technical University of Munich
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PhD Position in Regulatory Learning, Participation, Evidence and Regulatory Memory at Technical University of Munich Technical University of Munich in Germany
Degree Level
PhD
Field of study
Participatory Action Research
Funding
Paid three-year full-time employment contract under MSCA Doctoral Network funding, not a scholarship. Gross monthly salary is approximately €3,800 before taxes and social security, with social security, health insurance and pension contributions included; MSCA mobility allowance is included and a family allowance may be available.
Deadline
Oct 31, 2026
Country
Germany
University
Technical University of Munich

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About this position
Technical University of Munich (TUM) is recruiting a doctoral researcher for the MSCA Doctoral Network REGULAIRE (Regulatory Learning for the Governance of Transformative Technologies).
The project focuses on technology governance, regulatory learning, public policy, participatory research, and how institutions gather, document, reuse, and preserve evidence over time. This specific doctoral project examines how public agencies and other governance actors retain knowledge across regulatory cycles, with attention to participation by young people and other underrepresented groups.
The position is based at the Technical University of Munich, School of Social Sciences and Technology, and is supervised by Prof. Sandra Cortesi, with the network coordinated by Prof. Urs Gasser and Prof. Sandra Cortesi. The work is on site in Munich, Germany; teleworking is not permitted.
This is a paid, full-time, 36-month employment contract under MSCA rules, not a scholarship. The gross monthly salary is approximately €3,800 before taxes and social security contributions, and the package includes social security, health insurance, pension contributions, MSCA mobility allowance, and possibly a family allowance.
Applicants should have a Master’s degree or equivalent by the start date and a background in law, political science, science and technology studies, psychology, communication science, information and library science, or another social science/interdisciplinary field. Strong English skills are required; German is not required. Applicants must also satisfy MSCA mobility and doctoral enrolment rules.
Helpful experience includes document or archival analysis, FOI requests, governance/process mapping, work in government or regulatory settings, and qualitative or mixed methods. The project may use case studies, interviews, participatory methods, document analysis, workshops, and analysis of public records.
Apply online by 31 October 2026, 00:00 CET. Submit a CV, degree certificates and transcripts, a short research proposal (max 2 pages), and contact details for two referees.
Funding details
Paid three-year full-time employment contract under MSCA Doctoral Network funding, not a scholarship. Gross monthly salary is approximately €3,800 before taxes and social security, with social security, health insurance and pension contributions included; MSCA mobility allowance is included and a family allowance may be available.
What's required
A Master's degree or equivalent qualification that gives access to doctoral studies by the start date; relevant backgrounds include law, political science, science and technology studies, psychology, communication science, information and library science, and other social science or interdisciplinary fields. Applicants should have a genuine interest in how public institutions create, document and reuse knowledge, professional working proficiency in English, willingness to travel for secondment and network activities, eligibility under MSCA rules, and willingness to enrol in the TUM doctoral programme. Helpful but not required: document or archival analysis, FOI requests, mapping governance or organisational processes, government/regulatory/standards/library/archive/records-management experience, and qualitative or mixed methods.
How to apply
Apply through the online application form before the deadline. Submit a CV, copies of degree certificates and transcripts, a short research proposal of no more than 2 pages, and contact details for two referees. Shortlisted candidates may be asked for letters.
More information can be found here
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