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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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modelling, simulation-driven design, or technology development are encouraged to apply, provided they are motivated to further develop competences in electronics cooling and interdisciplinary research. It is
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
substantial potential to improve diagnosis, prognosis, and treatment across a wide range of diseases through data-driven analytical approaches. Progress in developing robust methodological frameworks relies
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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primary responsibility will be to carry out high-quality research within data-driven and model-based manufacturing systems engineering. You will work on developing innovative concepts and methods
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systems. Within the clinical domain, the group develops and applies advanced AI methodologies for disease modelling, prediction, and clinical decision support, with a strong focus on translating data-driven