Functions at the IAB
Professional background
Sabrina Mühlbauer studied Economics from 2012 to 2019, graduating with a Master of Science.
From October 2019 to April 2024, she held a scholarship in the GradAB programme. Since October 2019, she is working as a researcher in the the unit forecasts and macroeconomic analyses (MAKRO) at IAB.
She specialises in analysing the matching process at the labour market and applying algorithm-based models.
Activities
Publications
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Ethical Integration in Public Sector AI. The Case of Algorithmic Systems in the Public Employment Service in Germany
Bauer, B., Mühlbauer, S., Schlögl-Flierl, K., Weber, E. & Ziethmann, P. (2025): Ethical Integration in Public Sector AI. The Case of Algorithmic Systems in the Public Employment Service in Germany. (IAB-Discussion Paper 12/2025), Nürnberg, 32 p. DOI:10.48720/IAB.DP.2512
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Predicting Job Match Quality: A Machine Learning Approach
Mühlbauer, S. & Weber, E. (2024): Predicting Job Match Quality: A Machine Learning Approach. (IAB-Discussion Paper 09/2024), Nürnberg, 25 p. DOI:10.48720/IAB.DP.2409
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Machine Learning for Labour Market Matching
Mühlbauer, S. & Weber, E. (2022): Machine Learning for Labour Market Matching. (IAB-Discussion Paper 03/2022), Nürnberg, 37 p. DOI:10.48720/IAB.DP.2203
