(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.
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@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@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/
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