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Research Assistant in Survey Design (m/f/x)

Research Assistant in Survey Design (m/f/x)

Research Assistant in Survey Design (m/f/x)

Research Assistant in Survey Design (m/f/x)

Ludwig-Maximilians-Universität München

Erziehung, Bildung, Wissenschaft

München

  • Art der Beschäftigung: Teilzeit
  • Hybrid
  • Zu den Ersten gehören

Research Assistant in Survey Design (m/f/x)

Über diesen Job

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Social Sciences - Geschwister-Scholl-Institut for Political Science Remuneration group TV-L Full-time / Part-time Part-time (50%) Start date As soon as possible, this position is limited to six months Application deadline 2026-02-22

About us:

The Geschwister Scholl Institute for Political Science (GSI) is one of the leading political science institutes in Europe. Prof. Dr. Klaus Goetz's Chair of Political Systems and European Integration conducts research on a variety of topics. The focus is on time and politics in Europe, governance in the European multi-level system, and the dynamics of the European integration process.

We are looking for you:

Research Assistant in Survey Design (m/f/x)

in München

Your tasks and responsibilities:

  • Collaboration in the design and implementation of a cross-national survey on temporal preferences
  • Preparation of tenders and service descriptions for external survey service providers (e.g., panel providers)
  • Design, implementation, and evaluation of survey experiments
  • Collaborating on scientific publications with the option of co-authorship

Your qualifications:

  • Completed university degree in social sciences (master's or equivalent); applications from doctoral graduates are welcome
  • Very good knowledge of survey research
  • Very good English skills
  • Independent, structured, and meticulous way of working

Optional (advantageous):

  • Experience in survey design
  • Experience with survey experiments
  • Knowledge of survey software and/or statistics software/programming languages (e.g., R, Python)

Benefits:

  • A job with all the benefits of the collective agreement for state employees (TV-L), including supplementary pension benefits from the Federal and State Pension Institution (VBL)
  • Remuneration according to TV-L 13
  • Opportunity to work remotely
  • An interesting job in a motivated and open-minded team
  • Careful and qualified training

We offer you an interesting and responsible job with all the benefits of the collective agreement for the federal states (TV-L), including supplementary benefits from the Federal and State Pension Institution (VBL). Your workplace is centrally located in Munich and is easily accessible by public transport. The position is classified according to TV-L pay scale 13 (https://www.tdl-online.de/fileadmin/downloads/TV-L/TV-L_Anlagen/TV-L_Anlage_B_g%C3%BCltig_ab_01.02.2025.pdf)

Specific benefits you can expect from us:

  • Company pension plan
  • Capital-forming benefits
  • Work-life balance
  • Flexible working hours
  • Opportunity to work remotely
  • An interesting job in a motivated and open-minded team
  • Careful and qualified training
  • Childcare support (e.g., holiday and emergency childcare)
  • Continuing education and training program at all career levels
  • Health promotion offers
  • Theater and culture: special events, discounts, and vouchers
  • Mobility: Job tickets, job bikes, and charging stations for electric cars
  • Severely disabled persons will be given preference if they have essentially the same qualifications.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

If you are interested in contributing your skills and expertise, please send your application by e-mail to Leonce.Roeth@gsi.uni-muenchen.de (Leonce.Roeth@gsi.uni-muenchen.de) by February 22, 2026 at the latest.

The application documents should be compiled in a single PDF file no larger than 2 MB, including a cover letter.

Please direct any questions to Dr. Leonce Röth (https://www.en.gsi.uni-muenchen.de/people/academic/leonce-roeth/index.html) (Leonce.Roeth@gsi.uni-muenchen.de (Leonce.Roeth@gsi.uni-muenchen.de) ).

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech. Become part of LMU Munich! (https://www.lmu.de/en/about-lmu/working-at-lmu/index.html)

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy (https://www.lmu.de/en/footer/privacy-policy/) . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Ludwig-Maximilians-Universität München Geschwister-Scholl-Platz 1 80539 München

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Ludwig-Maximilians-Universität München

Fach- und Hochschulen

10.001 oder mehr Mitarbeitende

München, Deutschland

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