Informatics Institute is looking for a multi-disciplinary researcher who is capable of developing advanced analytical theory and methods for conceptualizing, discovering, and inferring causality in dynamical systems The focus is on non-equilibrium dynamics and the envisioned theory will be based on (multivariate) information theory. Specifically, the type of causality that is to be considered is ‘nudge’ causality, i.e., studying the effects of small perturbations. This research will depart from the notion of ‘information processing’ in dynamical systems, which aims to quantify how information is stored in dynamical systems and how this information percolates and interacts to eventually generate emergent systemic behaviour. The overarching goal of this PhD position is to carry over insights from the field of causality discovery and inference to the field of information processing in complex systems, and vice versa, in order to produce novel theoretical insights into the concept of nudge causality.

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