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for understanding their reliability and for making informed decisions based on their predictions. This project aims to develop new methods for uncertainty quantification in mathematical and statistical models
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). The position is part of the research project ThermRisk: A Personalized Digital Human Model for Predictive Thermal Risk Assessment. ThermRisk is a collaborative project between three faculties at HVL: the Faculty
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reinforcement learning, learning-based adaptation and control, physics-informed machine learning, learning-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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University. Where to apply Website https://www.academictransfer.com/en/jobs/363990/phd-modelling-non-co2-greenhous… Requirements Specific Requirements You are/have the following personal competencies and
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of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is huge amounts
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preparation, mesh generation, solver execution, and post-processing. Validate CFD predictions against experimental wind-tunnel measurements and establish best-practice guidelines for turbulence modelling and
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mathematical foundations needed to make deep operators reliable, robust, and applicable for control of complex engineering systems. In this PhD project, you will investigate how operator-learning models can
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-driven mathematical modeling in a transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across multiple
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design, additive manufacturing, and product lifecycle; and uncertainty quantification, verification and validation, and real-time model updating for decision-ready digital twins. Controls, Systems, and