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drought resilience and adaptation. Current groundwater flow models, however, often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult
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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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financial shocks and risk persistence phenomena, and functional variables such as entropy (of various types) are introduced as metrics to quantify uncertainty and the concentration of risk dynamics. The
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fields in cosmic voids and filaments. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test
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by quantifying, as precisely as possible, the biases and uncertainties that will affect the reactivity measurement of a power-generating ADS throughout its operating cycle, depending on the type
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limitations intrinsèques : incertitude de localisation temps/fréquence, et augmentation de la dimension de représentation. L’objectif est donc de pouvoir repérer, identifier, et séparer les différentes
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves