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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | 22 days ago
Engineering and Naval Architecture - Ivana Lucica 5, Zagreb, Croatia indicating „APPLICATION“. Project name: AI-Driven Digital Twin and GIS Optimization for Advanced District Heating Systems Where to apply E
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scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI
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harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as
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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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-driven methods to improve the reliability of monitoring systems used for energy efficiency and resource optimization. Your profile Master's degree in Electrical Engineering, Industrial Engineering
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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scalable workflows that integrate physics‑based modeling with data‑driven approaches, while efficiently utilizing national and local high‑performance computing (HPC) resources. Essential Function Yes
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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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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation