Publisher
source

Technische Universität Dortmund

Postdoctoral Position in Causal Machine Learning at TU Dortmund University TU Dortmund University in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is fully funded at 100% TVL-13 for two years.

Deadline

Dec 3, 2026

Country flag

Country

Germany

University

Technische Universität Dortmund

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Keywords

Computer Science
Data Science
Causal Inference
Causality
Statistics
Econometrics
Causal Ml Lab

About this position

Germany is offering a fully funded postdoctoral position in Causal Machine Learning at the Causality Lab, Research Center Trustworthy Data Science and Security, and the Department of Statistics at TU Dortmund University. The position is for two years (100% TVL-13) and focuses on research topics such as causal representation learning, causal discovery, and causal inference. Applicants should have a doctorate in statistics, computer science, econometrics, or a related field, with a strong interest in causal machine learning. The research environment is interdisciplinary, combining data science, statistics, and trustworthy AI. Application materials include a motivation letter, CV with publications, doctoral or master's certificate, estimated PhD award date if applicable, contact details for at least two references, and a 2-3 page research proposal. The deadline for applications is December 3, 2025. For more information, refer to the full announcement or contact the provided email address. This is an excellent opportunity for researchers interested in advancing the field of causal machine learning in a leading German institution.

Funding details

The position is fully funded at 100% TVL-13 for two years.

What's required

Applicants must hold a doctorate in statistics, computer science, econometrics, or a related field. A strong interest in causal machine learning is required. Application materials include a motivation letter, CV with publications, doctoral or master's certificate, estimated PhD award date if applicable, contact details for at least two references, and a 2-3 page research proposal.

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