Technische Universität Dortmund
3 months ago
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
Germany
University
Technische Universität Dortmund

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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.
How to apply
Send your application with the required documents to [email protected] by 03.12.25. Include a motivation letter, CV, certificates, references, and a research proposal. Refer to Ref-No. w71-25 in your application.
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