Doctoral MSCA Doctoral Network REGULAIRE, DCParticipation, Evidence and Regulatory Memory

School of Social Sciences and Technology

Organisation/Company Technical University of Munich (TUM) Department School of Social Sciences and Technology Research Field Architecture Communication sciences Computer science Economics Juridical sciences Sociology Political sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 31 Oct 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA Marie Curie Grant Agreement Number  Is the Job related to staff position within a Research Infrastructure? No

Are you curious why public institutions keep relearning the same lessons, and how to fix that? TUM is hiring a doctoral researcher for REGULAIRE, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network exploring how regulation learns in the governance of emerging technologies. This is a paid, three-year employment contract, not a scholarship, with full training, international mobility and close supervision.

• Employer: Technical University of Munich, School of Social Sciences and Technology. You must be willing to enroll in a doctoral programme at the TUM School of Social Sciences and Technology.
• Contract:
  Full-time employment contract (40 hours per week) for 36 months, with social security, health insurance and pension contributions
• Salary: A gross monthly salary of approximately €3,800, before taxes and social security contributions (remuneration in accordance with the MSCA Grant Agreement), includes the MSCA mobility allowance and, if you have a family, the MSCA family allowance is available. See “What we offer” below.
• Location:
  On site in Munich, Germany, as required by the MSCA programme; with travel for network events. The position requires full-time commitment with a physical presence at the recruiting institution. Teleworking is not permitted.
• Language: The working language is English. German is not required.
• Expected start: 01.02.2027, or upon agreement

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 to govern transformative technologies such as AI, quantum computing and neurotechnology. Its projects examine how regulators sense emerging problems early, how balanced interventions encourage learning without over correction or under reaction, how such interventions alter institutional capacities, and how feedback can be institutionalised so that insights travel across organisations and jurisdictions.

Across the network, regulatory learning means treating regulation as a learning architecture that generates, tests and refines knowledge about what works, rather than as one-off rule making.

As part of the network, you'll join an international cohort and be supervised across institutions. You will take part in three residential summer schools, methods workshops, monthly paper development seminars and joint work with regulators, standardisation bodies, and international organisations. The network is coordinated by Prof. Urs Gasser (Chair for Public Policy, Governance and Innovative Technology) and Prof. Sandra Cortesi (Chair for Participation and Diversity in Digital Societies) at the Technical University of Munich (TUM).

Public institutions gather evidence from research, practice and the people affected by their decisions. Yet these insights do not always reach those making policy, and lessons can disappear when personnel change or initiatives end. This doctoral project examines how…