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, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply
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, logistics platforms, industrial ecosystems, and regional transition actors depend on strategic partnerships across complex networks of port authorities, energy companies, logistics actors, industrial firms
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
largest and most complex scientific instruments in the world, and provides a unique and stimulating environment for students and researchers from across the globe. Our group at CP3 provides hands-on access
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implementation is an advantage Strong problem-solving and analytical abilities Ability to work independently and structure complex research tasks Interest in interdisciplinary research at the interface
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tackle the socio-techno-economical complexity of the built environment. Your vision is to close the “performance gap” by integrating Advanced HVAC System Design & Control, Cyber-Physical Modeling, and
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. Deploying models in edge environments requires navigating a fundamental conflict between model complexity and environmental volatility. Real-world edge environments remain highly dynamic: data streams
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first
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to translate complex model results and data analyses into new general insights about shallow groundwater behavior in cities. The project is carried out in close collaboration with COWI and Danish water utilities
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pedestrian comfort, even in complex crowd scenarios. The research moves beyond predefined or rule-based behaviours by integrating online learning and adaptation with formal safety guarantees. The project will
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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical