Doctoral Candidate for MSCA Doctoral Network REGULAIRE, DC15: Accountability in Adaptive Governance
Are you curious how regulation can become more flexible and experimental without losing legitimacy or being captured by powerful interests? 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.
Position details
- 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 a MSCA mobility allowance and, if you have a family, the MSCA family allowance is available.
- 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
- Application deadline: 31 October 00:00 CET
About REGULAIRE
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,
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Doctoral Candidate for MSCA Doctoral Network REGULAIRE, DC15: Accountability in Adaptive Governance in München Arbeitgeber: Technische Universität München
Die Technische Universität München (TUM) bietet eine herausragende Arbeitsumgebung für den Tenure Track Assistant Professor in 'Process Robotics in Bioprocess Engineering'. Mit exzellenten Arbeitsbedingungen in einer lebendigen wissenschaftlichen Gemeinschaft und einem multikulturellen Umfeld, in dem Englisch als gemeinsame Sprache dient, fördert die TUM die berufliche Entwicklung ihrer Mitarbeiter durch maßgeschneiderte Karriereberatung und attraktive Gehalts- sowie Sozialleistungen. Die Möglichkeit zur Promotion und die Unterstützung durch das TUM Munich Dual Career Office machen diese Position besonders attraktiv für engagierte Wissenschaftler.
Kontaktdaten:
Technische Universität München Recruiting-Team
