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Max Planck Institute for Demographic Research

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Postdoctoral Researchers in Demography and Education (EduTrack) Max Planck Institute for Demographic Research in Germany

Degree Level

Postdoc

Field of study

Education

Funding

Full funding available

Deadline

Aug 15, 2026

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Country

Germany

University

Max Planck Institute for Demographic Research

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Keywords

Education
Sociology
Demography
Political Science
Python Programming
Infertility
Social Policy
Human Capital
Economics
Statistics

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About this position

Several full-time postdoctoral researchers are invited to join the EduTrack project: Tracking Education Pathways and Social Policies at the Max Planck Institute for Demographic Research (MPIDR), Germany.

The project is interdisciplinary and sits at the intersection of demography and education, with a research focus on how education and knowledge transfer shape individual and societal well-being and resilience across life courses. MPIDR leads the work package on the bi-directional relationships between sociodemographic circumstances and educational trajectories.

Researchers with interests in topics such as education and political polarization, demographic change, migration, health and mortality, fertility and family formation, immigrant integration, inequality transmission, and human capital/productivity are especially encouraged to apply. The position is open to applicants from anywhere in the world, but successful candidates are expected to relocate to Rostock or nearby for the duration of the contract.

Funding: The postdoc positions are funded for up to 4 years, with salary according to the German public sector scale (TVöD Bund; EG14/1-3). Starting salary is approximately 67,500 EUR gross per year for researchers who have just completed their PhD, rising to about 77,600 EUR gross per year for more senior scientists. Relocation support is available.

Eligibility: Applicants should already hold a doctoral degree or expect to complete it in early 2027. Strong quantitative skills are required, and applicants should know R, Stata, Python, or another relevant programming language. Collaboration across disciplines is essential, and open science experience is welcomed.

How to apply: Apply online via the linked survey and upload a single PDF containing a cover letter (max 1 page), CV (max 3 pages), research statement (max 2 pages), names and contact details of two academic referees, and one writing sample or publication. Full consideration is given to applications received by 15 August 2026.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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