The Foundation is looking for a proactive and dynamic candidate, with good organizational, relational skills and an inclination for team-work, strongly motivated to work on innovative theoretical and data-oriented projects related to the dynamics on complex netwoks.
We offer a training opportunity that lends itself at the interface between Complexity Science and Complex Netwok Theory. The candidate will develop analytical and computational techniques to study cutting-edge problems dealing with dynamical processes that occur on top of networked systems, such as epidemic spreading or cascading failures. The overarching goal of the internship is not to reproduce data but understanding it through a modeling scheme: we first pose a well defined question, to then propose a model with isolated mechanisms that determine emergent consequences at the collective level, from which we can establish cause-effect relations. The internship opportunity is opened by the Complex Human Behaviour Lab (...