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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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monitoring and control. The research will design and evaluate hybrid AI + physics-based optimization frameworks that combine the accuracy and interpretability of physics-based optimization with the speed and
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Controlling pollutant emissions is one
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, pour fault tolérant control) sont des enjeux primordiaux. En effet le diagnostic permet de détecter, localiser et éventuellement quantifier un ou des dysfonctionnements dans un procédé. La commande
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 8 days ago
, based on the simulated microstructures. The ATALANTE project, of which this PhD is a part, is divided between experimentation, modeling, and commercialization, and brings together five partners: CEMEF
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protein or nucleic acid biophysics and structural characterization Experience with computational modeling and data analysis Excellent command of English, written and spoken Additional qualifications
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sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration