[Kdml] PostDoc Position in Trustworthy Machine Learning

The Research Center Trustworthy Data Science and Security (https://rc-trust.ai/) 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. https://jobs.zeit.de/jobs/postdoc-position-in-machine-learning-m-f-d-techni… 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 chemistry is beneficial, as some applications in this area are envisioned. Please apply via eMail (open-positions(a)rc-trust.ai) and provide the usual documents such as motivation letter, CV, and copies of your certificates. Bests, Emmanuel Müller -- Prof. Dr. Emmanuel Müller emmanuel.mueller(a)cs.tu-dortmund.de Professor of Computer Science Technical University of Dortmund Chair of Data Science and Data Engineering http://ls9-www.cs.tu-dortmund.de/ Founding Director Research Center Trustworthy Data Science and Security University Alliance Ruhr https://rc-trust.ai/