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Our group conducts fundamental research towards collaborative artificial intelligence (CAI) at the intersection of multimodal machine learning, computational cognitive modelling, computer vision, and human-machine interaction.

Humboldt Research Fellows

We invite applications from excellent PhD graduates who are interested in doing a PostDoc in our group. We are eligible to host excellent postdoctoral researchers for up to 2 years through a prestigious Humboldt Research Fellowship. If you are interested in applying for such a fellowship with our support, you can find more details here.

PhD / PostDoc Position Available

We have a PhD / PostDoc position available in the context of a DFG grant. The topic is "Long-term and Few-shot Action Anticipation using Causal Representation Learning".

Project Description: The goal of this project is to develop computational methods for causal representation learning for long-term and few-shot action anticipation. Action anticipation and proactive adaptation are key for efficient human-AI collaboration. We will specifically study settings in which an AI system parses video recordings of humans to learn structural causal models of their behaviour.

If you are highly motivated and capable of addressing and solving scientifically challenging problems, and if you are interested in doing research in an internationally oriented and highly successful team, you should apply! Please submit your complete application as detailed below.

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