Several PostDoc Positions for Trustworthy Statistical Learning and Machine Learning, TU Dortmund

Within the foundation of a new research centre, we are looking for several new scientific employees who are interested in advancing research between the Statistics and Computer Science Departments at TU Dortmund University.

In particular, we are looking to recruit postdoctoral researchers for temporary research projects that will complement our interdisciplinary team with new research topics in areas of machine learning (ML). Our goal is to build upon and expand our research focus on “Trustworthy Artificial Intelligence” at TU Dortmund University in two or more of these areas:

Interpretable ML

Statistical Learning

Development of ML Models

ML-based (Causal) Inference

Uncertainty Quantification in ML

Design and Optimization of ML Methods

Mathematical and Statistical Theory for ML

We aim for both fundamental theoretical research and practical applications in interdisciplinary research projects. The positions are embedded in a creative, attractive, and internationally renowned research environment. Application areas include but are not limited to Logistics, Engineering, Medicine, and Psychology.

Who we are looking for:
You want to start your academic career after your PhD in statistics, probability theory, mathematics, computer science, physics, or in applied domains of ML. Practical experience in ML algorithms is mandatory for this position, a theoretical background is an advantage. A scientific record in ML, statistical learning or an applied domain is required.

What we offer:
You will work on collaborative research projects between statistics, computer science and applied domains. You will help shape the focus of next generation researchers at TU Dortmund University by defininging new interdisciplinary research topics. Within this framework, you will have the opportunity to apply for research funding in self-driven and collaborative research proposals. In a dynamic research environment, we encourage you to exploit and expand the networks among our PhD students and Postdocs and to collaborate with them in research projects and publications.

If you are interested, just send us an email ( with a short motivation letter and your CV.

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