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.
Involvement in the Global Migration Information Hub, including research on the labor market integration of Ukrainian refugees in host countries.
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 the Global Migration Information Hub, including studying the labor market integration of Ukrainian refugees in host countries.
As a student assistant, you will be responsible for assisting with data collection and preparation tasks. 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.
Job Responsibilities
Qualifications
This is a 10 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.
FBerlin is an equal opportunity employer. If you are interested in applying for this position, please submit your CV/resume, a cover letter, transcripts, references (if applicable) and a past coding assignment/project illustrating your ability to work with large datasets to gmih@rfberlin.com. Applicants will be screened on a rolling basis. In your cover letter, please explain why you are interested in this position and how your qualifications make you a strong fit for the role.
For further information on the institute, please refer to https://www.rfberlin.com.
Please feel free to contact gmih@rfberlin.com if you have any questions. We look forward to hearing from you!
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