one student assistant (f/m/d) for 10 hours per week

DIW Berlin

About

The DIW Berlin (German Institute for Economic Research) has been one of Germany's leading economic research institutes since 1925. It researches economic and social science relationships in socially relevant topics and advises policymakers and society on this basis. The institute has national and international networks, provides research infrastructure that is used worldwide, and promotes young scientists. DIW Berlin is independent and, as a member of the Leibniz Association, is financed primarily from public funds. 

The research-based infrastructure facility Socio-Economic Panel (SOEP) based at DIW Berlin is one of the largest and longest-running multidisciplinary panel studies worldwide. SOEP aims to capture social change and is therefore constantly confronted with new and diverse topics and tasks. For the Cohesion Panel, which is conducted in cooperation with the University of Bremen, we are looking for the following as soon as possible

           one student assistant                                             (f/m/d)

                                                   for 10 hours per week

Your tasks

• Preparation, review, analysis, visualization of longitudinal and experimental data
• Preparation and editing of tables and figures 
• Creation and revision of texts and presentations 
• Literature research

You will contribute to the survey methodological research of the data, including the preparation, testing, analysis and visualization of longitudinal and experimental survey data. You will be directly involved in ongoing data analysis projects, support research activities and thus become familiar with the process from project planning and data collection to the publication of research results.

Your profile

• You study psychology, social sciences or a related subject with a quantitative focus and have at least two semesters of standard study time ahead of you
• You are proficient in German and English and can express yourself in both languages, both written and spoken
• You are familiar with MS Office (especially Word, Excel, PowerPoint)
• You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge
• You have experience in working with survey or even panel data or a strong interest in familiarizing yourself with it
• You use Git and Markdown or are willing to familiarize yourself with them
• Experience in behavioral observation and transcription is an advantage

Your benefits

• Insights into survey methodological research and the testing of new survey techniques in the context of a large panel study
• Contribution, development and expansion of own research-based data expertise
• Contact with scientists in a multidisciplinary team and across institutes (University of Bremen)
• Extensive flexibility in terms of work hours
• Ideal conditions for writing a bachelor's or master's thesis 
• The opportunity to enhance your academic knowledge through practical application

Your application

A valid certificate of enrolment must be submitted.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality or ethnic and social background.

Please apply online by 26.02.2026 with the usual documents (letter of application, curriculum vitae in tabular form, current transcript of records, high school diploma and work references, Bachelor's certificate, if available), reference number SOEP-1-26-ST.

Further information about DIW Berlin can be found on our homepage at www.diw.de. For information on the field of work, please contact Mariel McKone Leonard (mleonard@diw.de).