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Are you our next PhD candidate eager to build fast and multi-scale electromagnetic techniques for analyzing state-of-the-art RF applications and systems? Are you interested in making RF system
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. Investigate emergent behaviors such as swarming, clustering, and collective navigation in confined and complex environments. The project will build on an interdisciplinary approach, combining concepts and
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, you will develop analytical and numerical models describing the quantum dynamics of mechanical systems and their interactions with complex environments. Building on these models, you will investigate
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to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge
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to share and combine data from diverse sources, including building characteristics, energy infrastructure, flexibility resources and operational measurements. However, these data are often fragmented across
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, by building on methodological and theoretical frameworks from computer science, psychology, and area studies. The lab has a strong cross-cultural focus, collecting data and conducting experiments in
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, valorisation and training socially engaged citizens of the world who will make valuable contributions to a sustainable, healthy future. Are you interested in joining the Faculty of Science? You will join
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PhD Position: Decision-Making for Heat Transition Planning under Data Sharing Constraints Can grid operators and other stakeholders make robust decisions when the data they need cannot always be
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formulations for single-criteria robust design do not capture these effects. This requires the development of new formulations and strategies building upon modern robust multi-criteria optimization methods based
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software and enterprise resource planning (ERP) software, not product modelling software such as Building Information Modelling (BIM), although knowledge of BIM can be helpful. The project will contribute