M2 Internship: Impact studies of extreme oceanic conditions on coastal risk indicators
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M2 Internship: Physics Informed Neural Networks for parameter estimation in Stochastic Differential Equations
L'offre est déjà pourvue (20/02/2026)
Context
Stochastic Differential Equations (SDEs) are popular models in many fields including spatial ecology, climate science, biology. Diffusion SDEs with additive noise are commonly found. When proposing such a model for observed trajectories at discrete times, the next step consists in estimating the SDE parameters from those observed data. This is a critical task from which one can gain understanding on the underlying process mechanics.