Overview
The Causality lab at TU Dortmund University is offering a fully funded postdoctoral position focused on causal machine learning. This role is part of the Research Center for Trustworthy Data Science and Security and the Department of Statistics. The position is significant for advancing research in causal inference and related areas, contributing to the broader field of data science.
Background & Relevance
Causal machine learning is an emerging area that combines principles from statistics, computer science, and econometrics to understand and model causal relationships. This field is crucial for developing robust data-driven solutions that can inform decision-making processes across various domains. As the demand for trustworthy data science grows, expertise in causal methods becomes increasingly valuable, making this position particularly relevant.
Key Details
- Position: Postdoctoral Researcher in Causal Machine Learning
- Location: TU Dortmund University, Germany
- Duration: 2 years, fully funded (100% TVL-13)
- Application Deadline: December 3, 2025
- Reference Number: w71-25
- Full Announcement: View here
Eligibility & Participation
Candidates holding a doctorate in statistics, computer science, econometrics, or a related field are encouraged to apply. A strong interest in causal machine learning is essential, and potential research topics include causal representation learning, causal discovery, and causal inference.
Submission or Application Guidelines
Interested applicants should submit their applications to open-positions@rc-trust.ai, including the following documents:
– Motivation letter
– Curriculum Vitae (CV) with a list of publications
– Doctoral certificate or Master’s certificate
– Estimated date of PhD completion
– Contact details for at least two references
– Research proposal (2-3 pages)
More Information
This postdoctoral position is a valuable opportunity for researchers aiming to deepen their expertise in causal machine learning. The work conducted in the Causality lab will contribute to the understanding of causal relationships in data, which is essential for developing reliable AI systems. As the field evolves, the integration of causal methods into machine learning practices is expected to enhance the interpretability and effectiveness of AI applications.
Conclusion
This is an exciting opportunity for qualified candidates to join a leading research team at TU Dortmund University. Researchers interested in advancing the field of causal machine learning are encouraged to apply and contribute to impactful research. Explore this opportunity and consider submitting your application by the deadline.
Category: PhD & Postdoc Positions
Tags: causal machine learning, postdoc, tu dortmund, statistics, data science, causal inference, causal discovery, research, econometrics, computer science
