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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
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are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond. If you’re excited by the idea of using advanced
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to metastasize and colonize distant tissues using mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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learning models to predict how materials break at the atomic scale. You'll create AI-driven simulations that reveal why tungsten, the leading fusion reactor material, transitions from ductile to brittle
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
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, you will generate and study human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes and engineered cardiac tissues (ECTs). You will develop patient-specific cardiac models to identify
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analysis and electrical engineering. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: Statkraft is a leading provider of Stability Services
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16th March 2026 Languages English English English The Department of Structural Engineering has two vacancies for SFI FAST: PhD positions in Modelling Strength and Failure in Recycled Aluminium