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/en/department/earth-sciences/research/air-water-and-landscape-science ). Duties The PhD project will focus on uncertainty quantification in modelling flow and solute transport in fractured rocks. The
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-echelon and multi-location inventory systems; demand forecasting and uncertainty quantification; supply-chain planning, replenishment and allocation; stochastic and robust optimization under uncertain
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 2 months ago
demonstration cases within the CLIMABUILD project. The candidate will work at the intersection of climate resilience assessment, life-cycle modelling and uncertainty quantification. The successful candidate will
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materials; knowledge of fracture mechanics is highly desirable. Experience with simulation–experiment data integration, physics-informed learning, inverse design or uncertainty quantification would
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, classification, and clinical decision support will be developed, with particular emphasis on Explainable AI, Trustworthy AI, robustness, fairness, and uncertainty quantification. The proposed solutions
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, agentic multi-modal data science for complex transport phenomena, in addition to forward/backward uncertainty quantification, numerical analysis, and high-performance computing. Equal Employment
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and transitional flows. We welcome a broad range of related expertise, including but not limited to fluid-structure interaction, uncertainty quantification, and inference methods. Exceptional candidates
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. Apply early anomaly detection, diagnostic, and predictive maintenance techniques, as SMR digital twin applications, when available data. Incorporate methods for uncertainty quantification, robustness
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physical processes Familiarity with uncertainty quantification and statistical analysis Preferred Qualifications Experience integrating AI or machine learning approaches into environmental modeling
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chemical and physical perturbations in a test house to investigate indoor processes https://doi.org/10.1039/D4EM00209A Methodology and uncertainty estimation for measurements of methane leakage in a