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prediction. In this thesis, you will focus on the quantification of model uncertainty, that arises from limited knowledge and the quantification of data uncertainty, that arises from data-inherent
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in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 16, 2026
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
developed that support real-time digital twins, uncertainty quantification, identification of model parameters from data, and probabilistic representations of residual model discrepancies. Development and
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detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty quantification using approaches such as conformal
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frameworks such as PyTorch), ideally with experience in one or more of the following: large language models and agentic AI, uncertainty quantification, anomaly detection and fault diagnosis, or decision
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Quantify and formalize uncertainty estimates to support reliable deployment in real-world building management systems For further information on the project you can contact your future superior: https
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variance that drives tracking error. The aim is decision-grade uncertainty quantification (UQ) and principled data-driven parameter selection. Hence, the project will develop automatic portfolio
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 13 hours ago
Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control
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, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty quantification, model order reduction, data assimilation, optimal control, and their
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data, for uncertainty quantification, for incorporating context and dependencies, and for developing interpretable AI. The UiT campus in Tromsø is located near the city centre. Tromsø is a vibrant city