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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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learning, operations research and optimization, developing advanced computational and decision-support methodologies for complex real-world challenges. The group conducts research spanning both
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collaboration and the optimization of models for embedded systems, such as NVIDIA Jetson and TensorRT will be an advantage, as will a documented ability to publish in international journals. You communicate
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-based) with emphasis on modelling, control, optimization, and real-time implementation, for example within specific Power-to-X applications. Relevant domains include (but are not limited to): Electrical