PhD Candidate — Welfare State & AI Policy Research

Uni Lu

Luzern

Vor Ort

CHF 68.000 - 80.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

The Zug Institute for Blockchain Research at the University of Lucerne seeks a PhD Candidate/Doctoral Researcher to investigate welfare state transformation in the AI era. The position is fully funded for four years and linked to the ERC Starting Grant REPAIR, under Prof.

Juliana Chueri. You will join a collaborative team across the social sciences, conduct independent research, develop comparative indicators, publish in international journals, and contribute to organizing workshops and

Qualifikationen

  • Completed Master’s degree in political science, public administration, sociology, economics or related field.
  • Strong interest in welfare state institutions, labour market regulation and social policy.
  • Excellent command of quantitative methods; experience with R, Stata or Python or willingness to learn.
  • Excellent command of English, both spoken and written.

Aufgaben

  • Conduct independent doctoral research on welfare state transformation and/or labour market regulation in the context of AI-driven automation.
  • Contribute to development of comparative indicators, surveys and cross-national analyses.
  • Publish research findings in peer‑reviewed international journals (cumulative dissertation).
  • Support the principal investigator in research activities, grant management and organisation of workshops and conferences.
  • Present research at international conferences and contribute to the project’s international research network.

Kenntnisse

Quantitative methods
Programming (R/Stata/Python)
English proficiency
Independence & teamwork
Self-organization

Ausbildung

Master's degree in Political Science / Public Administration / Sociology / Economics

Tools

R
Stata
Python

Jobbeschreibung

The Zug Institute for Blockchain Research at the University of Lucerne seeks a PhD Candidate/Doctoral Researcher to investigate welfare state transformation in the AI era. The position is fully funded for four years and linked to the ERC Starting Grant REPAIR, under Prof.

Juliana Chueri. You will join a collaborative team across the social sciences, conduct independent research, develop comparative indicators, publish in international journals, and contribute to organizing workshops and

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