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modeling framework that combines physical glacier modeling with physics-informed machine learning using differentiable programming (Universal Differential Equations). Using the ODINN.il glacier model
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interpretability methods for machine learning models (variable importance, Shapley values) applied to the model developed by Doussot et al. (2026). 3) Carry out counterfactual sensitivity experiments: re
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processing/computer vision and machine learning. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-VIRFAU-063/Default.aspx Requirements Research Field Physics Education Level
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through few-shot adaptation. Research Objectives The primary objective of this PhD is to develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to