2-year PostDoc Position in Trustworthy Machine Learning

The Research Center Trustworthy Data Science and Security ( is looking for a full-time postdoc (part-time possible) to pursue independent research projects for two years; payment according to public service's agreement: TV-L E14.

The open PostDoc position shall strengthen our interdisciplinary research team in any of the overarching research areas Psychology & Social Sciences, Artificial Intelligence & Machine Learning, Data Science & Statistical Learning, and Cybersecurity & Privacy and their interfaces.

We expect a sound knowledge of the fundamentals of machine learning, with an emphasis on one or more of the following topics:

  • Interpretable Machine Learning
  • Fairness and Transparency of Machine Learning
  • Game Theory for Interpretable ML
  • Automatic Machine Learning
  • Hyperparameter Optimization
  • Representation Learning
  • Anomaly Detection
  • Uncertainty Quantification
  • Counterfactual Explanations
  • Robustness Guarantees for Machine Learning

In particular, we encourage applications in Machine Learning for Time Series, Data Streams, Graphs, or similar complex data sets. In case you stem more from a theoretical research area, your research in Machine Learning is linked with game theory, information theory, statistical tests, as well as multi-criteria optimization.
In addition, interest in chemistryis beneficial, as some applications in this area are envisioned.

Please apply via eMail ( and provide the usual documents such as motivation letter, CV, and copies of your certificates.

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