Welcome to the Causality Group!
The chair of Causality was established in June 2024 and is led by Alexander Marx. We are part of the Department of Statistics at TU Dortmund University and the Research Center Trustworthy Data Science and Security. Further, the group is affiliated with the ELLIS Unit NRW.
Our research focuses on causality and machine learning, with an emphasis on causal discovery, causal inference, and their connections to out-of-distribution generalization, representation learning, and information theory. We aim to enhance the trustworthiness, robustness, and generalization capabilities of AI systems by tackling fundamental challenges in data-driven decision-making. For more details, please check out our full list of publications.
PhD Opening (14.10.26): We are currently looking to fill a PhD position (3 years, 100% TV-L 13) as part of the DFG project CD-ReF, which focuses on falsification-based causal discovery. If you are interested, please reach out via e-mail, providing a CV, transcripts, and a cover letter.
Thesis Projects: If you are interested in the groups research, please feel free to contact us for a thesis project. Please attach your current transcript of records and a briev CV. We currently have some open topics on causal discovery via flexible regression (see, e.g., [1], [2] for inspiration), to investigate confounding (see FCI [3]), or potentially foundation models. Further, topics from our most recent seminars could also be suitable "Fairness and Causality Seminar" or "Topics in Bayesian Causal Inference". You can also propose your own topic. For inspiration, I would recommend to browse the most recent publications that are linked above.
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