Develop mathematical models and numerical methods for physical, engineering and complex systems. Research areas include differential equations, scientific computing, optimization, nonlinear dynamics, mathematical physics, network science and multiscale simulation. Faculty teach, supervise students, seek research funding and contribute to curriculum development. English is the working language. Applications received before 1 November 2026 receive full consideration; the search continues until filled.
Complex systems
4 results
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'Market humanism: towards a new paradigm for the economy and economics' with Prof Eric Beinhocker and Nick Hanauer
…behavioural and social sciences, complex systems, evolutionary theory and computer science, they outline the proposed framework and its implications for policy and business. The discussion considers how it could alter politics and public narratives, and the p
Thu, Mar 5, 2026 · 13:00 UTC
Spike-based embeddings for multi-relational graph data
…Complex systems like molecules, social networks and industrial factory systems can be described using the common language of knowledge graphs, allowing the usage of graph embedding algorithms to make context-aware predictions in these information-packed environments.
Tue, Nov 2, 2021 · 14:55 UTC
Theory, reimagined
…hard to imagine a similar precision in complex systems where the number and interdependencies between components simply prohibits a first-principles approach, look no further than the challenge of the billions of neurons and trillions of connections within our own brains. In such settings how do we even identify the important theoretical questions? We describe a systems-scale perspective in which we integrate information theory, dynamical systems and statistical physics to extract understan
Fri, Dec 11, 2020 · 13:00 UTC