Research Assistant (m/f/d) 50%
Leibniz Institute for Financial Research SAFE, Frankfurt am Main
The Leibniz Institute for Financial Research SAFE – Sustainable Architecture for Finance in Europe – (www.safe-frankfurt.de) promotes high-quality research and independent policy advice on all aspects dealing with the structure and functioning of the financial system. It is committed to contributing to the strengthening of a sustainable and resilient financial architecture that promotes innovation and serves the needs of the economy and its citizens. Researchers from the fields of economics, law, and political science collaborate at SAFE.
The Leibniz Institute SAFE is seeking to fill the position of a
Research Assistant (m/f/d)
(50% Position, salary group E13 TV-H)
We are looking for
a research assistant for the project “From Machine Learning to Machine Teaching (ML2MT) – Making Machines AND Humans Smarter” funded by Volkswagen Foundation with Prof. Pelizzon being one of the Principal Investigators. The project aims at a better understanding of how humans and machines in collaborative human-AI systems can unlock new knowledge from symbiotic interaction with each other. To this end, the consortium explores the analytical and technical foundations that account for success in transferring new knowledge from intelligent machines to humans and vice versa. This will be investigated in case studies from medical diagnostics, economic decision-making, and financial market forecasting using hybrid human-machine systems. The team wants to derive generalizable socio-technological and psychological findings and make recommendations to further improve the interaction between humans and machines. The research assistant will support the work on the institutional implications for the fields of finance and economics. He or she will conduct methodological and empirical studies examining the consequences of employing Machine Teaching applications.
- Master-level degree in Economics, Banking and Finance or in Statistics, Mathematics, Physics and Engineering, or equivalent
- Excellent performance in your field of study
- Good background on financial economics
- Excellent data handling and analytics skills
- Very good knowledge of MATLAB, R, Python, or STATA
- Good knowledge of financial databases like SNL, Eikon, Bloomberg etc.
- Very good knowledge of the English language
- The ability to work independently and on your own initiative
- Flexibility and teamwork
the infrastructure of a modern research center with excellent contacts to the scientific and financial community. You will be working in a very attractive working environment in the House of Finance at Goethe University and an enthusiastic team of colleagues. Compensation will be 50% of a full-time position in accordance with the standards of the public services wage agreement of the State of Hesse (TV-H E 13). There would also be the possibility of enrolling in the Goethe German Doctorate. The employment contract has a duration until 31.03.2026.
SAFE is committed to promote the inclusion of persons with disabilities and therefore invites them in particular to apply. We also seek to increase the share of women in research and, thus, strongly encourage female scholars to apply.
Your application: Please submit your application, together with the usual credentials (CV, letter of motivation, transcripts etc.), by mail to Leibniz Institute for Financial Research SAFE, House of Finance, Theodor-W.-Adorno-Platz 3, 60323 Frankfurt am Main, Germany or electronically by email to applications(at)safe-frankfurt.de by adding APPLICATION Research Assistant Project ML2MT LP in the subject line of your email.
Deadline for the submission is February 5, 2023.
Should you have any questions please contact Andrea Lehr via email: office_pelizzon(at)safe-frankfurt.de