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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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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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to state-of-the-art research facilities and computing resources. Key Responsibilities: We expect you to be part of: Developing data-driven computational models of consumer, behavioural, or cognitive change
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DETECTIVE (Data driven Excellence in Training of Epidemiological, Clinical, Technological and Innovative Virus Experts) is an EU-funded MSCA training programme aimed at developing new, data-driven methods
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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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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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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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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