Technische Universität Dortmund
6 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
Full funding availableDeadline
December 31, 2026Country
Germany
University
Technische Universität Dortmund

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
More information can be found here
Keywords
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
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.