The position is research-oriented and focuses on mathematical and system-theoretic methods for analysis, control, and risk intervention in financial networks. The overarching goal of the project is to develop a unified theoretical framework for understanding systemic risk and stability in complex financial ecosystems, with particular emphasis on the role of network structure. The research models financial systems as dynamic, endogenously evolving networks in which agents' strategic decisions jointly determine network topology and system dynamics. Key topics include equilibrium analysis, stability, robustness, and structural controllability. The work integrates dynamic game theory, graph theory, optimization, and control theory. A central component of the project concerns dynamic credit scoring under incomplete and asymmetric information. This includes the development of network-based observers, filtering methods, graph-theoretic indicators, and machine-learning approaches such as temporal graph neural networks. The project also addresses the design of system-level and individual-level intervention strategies aimed at mitigating systemic risk.
Up to 20% of the position may include teaching or supervision duties.
Requirements
Personal skills
You should have good analytical, mathematical, and problem-solving skill. The research focuses on methods and theory, but you need to have sufficient knowledge/skills in programming.
Preferred qualifications
Great emphasis will be placed on personal skills.
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The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
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Tagged as: Engineering, Physics
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