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Postdoctoral Research Fellow in Stochastic Analysis and Computational Methods

Closes: Oct 22, 2026

The position is framed in the strongly interdisciplinary research group of Risk and Stochastics and the Community of SURE-AI. The focus is on the development of original mathematical methods for AI and its applications aimed at the modelling and analysis of complex phenomena particularly within economics and finance, energy finance, sustainable and ethical economics and insurance.

We are interested in research projects that are deeply grounded in stochastic analysis and show also development of computational methods towards machine learning. The projects will focus on applications to risk-sensitive decision making and control, with the potential to address ethical and human alignment in machine learning research.

For this, candidates with a strong background in the areas of stochastic analysis, Malliavin calculus, forward and backward stochastic differential equations, signature methods, filtering, machine learning and computational stochastics are particularly welcome and are prioritized. Clear interest in computational methods towards applications is appreciated.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/309395/postdoctoral-research-fellow-in-stochastic-analysis-and-computational-methods

Requirements

Research Field: Mathematics
Education Level: PhD or equivalent

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Postdoctoral Research Fellow in Stochastic Analysis and Computational Methods