Publisher
source

Technical University of Munich

Top university

PhD student or postdoctoral researcher in PISA, educational monitoring, and English language teaching Technical University of Munich in Germany

Degree Level

PhD, Postdoc

Field of study

Education

Funding

Full-time position at 100% (E13 TV-L), initially fixed-term until 2027-12-31; extension is planned and funding is available. The post supports doctoral or postdoctoral further qualification and includes standard university social benefits and regulated working hours.

Deadline

Sep 24, 2026

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Country

Germany

University

Technical University of Munich

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Keywords

Education
Psychology
English Language Teaching
Problem Solving
Multilevel Analysis
Language Proficiency
Statistics
Linguistics
Psychometric

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About this position

Technical University of Munich (TUM) is advertising a PhD student or postdoctoral researcher in PISA (m/f/d) within the Chair of Educational Monitoring and Effectiveness and the Centre for International Comparative Studies in Education (ZIB) eV.

The position is part of a cross-project research role focused on educational monitoring, PISA, quantitative research methods, psychometrics, large-scale assessment, and English language teaching. The work combines two projects: inDits, which studies innovative PISA domains and supports horizontal and vertical comparisons across assessment rounds, and FLA Teaching, which examines English language proficiency and its relationship to teaching methods, teacher characteristics, and school conditions.

Research tasks include scientific evaluation of already collected PISA 2025 data, preparation of publications and presentations, cooperation with national and international partners, and independent research as part of doctoral or postdoctoral qualification. Project-specific work includes linking and trend analyses, competence profile analysis, multilevel modelling, and analysis of student, teacher, and school-level data.

Eligibility highlights: a completed Master’s degree or equivalent in Educational Science, Psychology, Educational Sciences, Teaching, or a related field; excellent quantitative and data analysis skills; good German and English communication skills; and interest in either psychometric analyses or foreign language didactics/teaching research. Experience with complex survey data, competency data, or international comparative studies is advantageous.

Funding and conditions: full-time appointment at E13 TV-L (70–100% mentioned in the intro, with the offer section stating 100%), initially fixed until 2027-12-31, with extension planned and funding available. The post includes standard university benefits and supports further scientific qualification.

How to apply: send application documents, including a CV, preferably by email as a single PDF to [email protected]. The deadline is 2026-09-24. For questions about the content of the post, contact Prof. Dr. Samuel Greiff at [email protected].

Funding details

Full-time position at 100% (E13 TV-L), initially fixed-term until 2027-12-31; extension is planned and funding is available. The post supports doctoral or postdoctoral further qualification and includes standard university social benefits and regulated working hours.

What's required

Completed Master's degree or comparable qualification (Diploma, MA, State Examination) in Educational Science, Psychology, Educational Sciences, Teaching or a related field. Excellent knowledge of quantitative research methods and data analysis is required; experience with complex survey or competency-related data is advantageous. Prior knowledge of large-scale assessment and/or international comparative studies is advantageous. Good written and oral communication skills in German and English are required. For the inDits project, interest in innovative PISA domains, psychometric issues, trend/linking/comparison analyses, competence profiles, and relevant subgroups is expected. For the FLA teaching project, interest in foreign language competence (English), English teaching, learning conditions, linking student/teacher/school data, and multilevel analyses is expected; knowledge of foreign language didactics, teaching research, or teaching skills is advantageous.

How to apply

Prepare application documents including a CV and send them preferably by email as a single PDF. Submit to [email protected] by 2026-09-24. For content questions, contact Prof. Dr. Samuel Greiff at [email protected].

More information can be found here

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