PhD in causal representation learning on multimodal data at University of Amsterdam

Deadline: Sept. 15, 2022, midnight
UvA Maartje Strijbiskopie

Are you interested in applying ideas from the exciting new field of causal representation learning (https://crl-uai-2022.github.io/) to multimodal data, e.g., images, text, etc.? Are you excited about investigating fundamental questions and developing a unified principled framework, but also testing them empirically?

The Intelligent Data Engineering Lab at the University of Amsterdam (www.uva.nl) is seeking a motivated Ph.D. student in the area of causality, causal representation learning, and multimodal data fusion. You will be working under the supervision of dr. Sara Magliacane (https://twitter.com/saramagliacane) and prof. Paul Groth (https://indelab.org/)on a new fundamental research project, funded by the US Air Force Office of Scientific Research, aimed at creating foundational theory and methods for extracting and fusing causal knowledge from multiple modalities.

Deadline: September 15, 2022

All details here: https://vacatures.uva.nl/UvA/job/PhD-Candidate-in-Causal-Representation-Learning-and-Fusion-from-Multiple-Modalities/752007002/

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