RFBerlin conducts independent research into significant challenges to the economy, society and the welfare state in a global world. We focus on applied and data driven research, and produces work that is impartial, based on objective scientific principles and adheres to the highest standards of academic excellence.
The Institute is funded by the ROCKWOOL Foundation. The ROCKWOOL Foundation is a self-funding and impartial charitable foundation established in 1981. From the outset, the Foundation's stated aim has been to support independent and credible research for the benefit of the general public.
RFBerlin is closely linked to a broad international knowledge network and works closely with its partner in Copenhagen. The goal of the research conducted at RFBerlin is to inform and raise the level of public debate, and to provide the best possible basis for political decision making.
Project led by Guido Friebels about infrastructure in Germany and extremist voting behaviour
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:
Qualifications:
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!
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