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42,500 students and 7,750 employees in teaching, research and administration, all working together to shape perspectives for the future – that is the University of Münster. Embedded in the vibrant atmosphere of Münster with its high standard of living, the University’s diverse research profile and attractive study programmes draw students and researchers throughout Germany and from around the world.

At the Chair of Social Research Methods, part of the Institute of Sociology in Department 06 at the University of Münster, Germany, is seeking to fill the position of a


Doctoral Research Associate (Wissenschaftliche*r Mitarbeiter*in, salary level E 13 TV-L)

at the earliest possible date. We are offering a fixed-term part-time position (65%) for 3 years. Full-time employees are required to teach 4 hours per week during the semester.

The Chair of Social Research Methods focuses on developing innovative research methods to study timely, socially relevant issues. It offers an ideal environment for conducting impactful research and developing methodological skills.

Your tasks:

  • This position is tied to working towards a doctorate
  • Supporting research activities (including work in the Visual Analytics Research Lab - VARL) and teaching
  • Contributing to departmental administration
  • Organizing academic events

Our expectations:

  • A graduate degree in social sciences (i.e. German Diplom and / or master’s degree) is required. Applicants with a degree in computer science are also welcome if they can demonstrate knowledge of social science topics through participation in subject-specific courses.
  • Good command of written and spoken English is advantageous.
  • German language skills are not a requirement but a willingness to learn would be desirable.
  • Solid knowledge of quantitative research methods (using R or Python)
  • Interest in and basic knowledge of topics such as artificial intelligence, machine behavior, or situational interaction analysis in the context of social inequality
  • A respectful and positive approach to working with colleagues and students

Desirable Additional Qualifications:

  • Experience with methods in computational social science, especially computer vision, simulation techniques, or natural language processing
  • Experience in designing and conducting experimental research
  • Interest in and openness to qualitative methods and mixed methods
  • Experience studying or working abroad
  • Experience with publishing scientific output

Advantages for you:

  • Engaging work in a respectful and open academic environment.
  • Our broad range of diverse work-time models offers great flexibility.
  • If you have family members or young children in your care, our Family Service Office offers concrete support to help you balance your private and professional responsibilities.
  • As an educational institution, we are deeply committed to offering occupational training and continuing education opportunities tailored to your individual needs.
  • From A – Z, Aikido to Zumba, our sport and health programmes ensure a healthy work-life balance.
  • As a university employee, you are entitled to numerous benefits afforded to public servants, e.g. an attractive company pension scheme (VBL), an annual end-of-year bonus and a position that is shielded from economic fluctuations.

The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions.

We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.

If you have any questions, please contact Diana Nordhaus at: d.nordhaus@uni-muenster.de

Interested? We look forward to receiving your application by 2025-07-04. Please send a cover letter, your CV, your academic transcripts, and a project outline for your planned dissertation research (max. 2 pages) in the subject areas mentioned above.

Important: Your application must be submitted as a single PDF file to the Institute of Sociology at the University of Münster: soziologie@uni-muenster.de. Please note that we cannot consider other file formats.

Universität Münster
Institut für Soziologie
Prof. Dr. Nicolas Legewie
Lehrstuhl für Methoden der Sozialforschung
Scharnhorststr. 121
48161 Münster

Reference number: 2025_06_13



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