The ROCKWOOL Foundation Berlin – Institute for the Economy and the Future of Work (RFBerlin), a research institute focused on data-driven research, is seeking a research assistant for tasks related to Guido Friebels public policy research agenda, including a project about infrastructure in Germany and extremist voting behaviour.

As a student assistant, you will be responsible for data collection and preparation tasks:

• Assist in collecting data on a number of topics in Germany, among others on co-determination in firms and the quality of infrastructure in particular in rural Germany such as the train networks, the healthcare industry, and broadband internet.
• Prepare, and analyze data using R, Python, or Stata.
• Assist with project management, including scheduling meetings, tracking deadlines, and communicating with team members.
• Attend team meetings and document the data collection process to allow replicability of the research.

Qualifications:

• Currently enrolled in a bachelor's or master's program in statistics, economics, informatics, or a related discipline.
• Good coding skills in R, Python, or Stata.
• Interest in research and data analysis.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills in English (German optional).
• Ability to work independently and prioritize tasks effectively.

This position offers a unique chance to gain hands-on experience in data-driven research and develop your coding skills in a dynamic and supportive environment. This is a 20 hours per week position that offers flexible hours, allowing you to balance work and your studies. We are excited to welcome a new team member to our office in Berlin and would like to offer an immediate start for the position, based on individual agreement.

RFBerlin is an equal opportunity employer. If you are interested in this position, please submit your resume/CV, cover letter, transcripts, references (if applicable), and a past coding assignment or project that demonstrates your ability to work with large datasets to md@rfberlin.com.

Applications will be reviewed on a rolling basis. In your cover letter, please explain your interest in the position and how your qualifications align with the role.

For more information about the institute, please visit https://www.rfberlin.com. If you have any questions, feel free to reach out. We look forward to hearing from you!