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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms
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Identification of mathematical models for the fluid flow and flow patterns Estimation and soft-sensing of non-measurable process variables Optimization and learning control of the flow by manipulating the plug
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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applications for the position of Research Assistant in Invasive Pest Genomics. The intern will contribute to the efforts of an NSF-funded project (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2418203
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. At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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case of ignition. The final goal will be to adapt the air and ground extinguish means to the estimated firepower with tactical and security issues to retain control over the wildfires. In addition, soil
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framework of the PhD position and in alignment with the broader Vidi project, including the identification of relevant case studies; conducting high-quality empirical research (e.g., archival research and
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, programming, and computer simulations. The focus of the project (funded by the Danish Council for Independent Research) is to explore the interaction between optimally controlled coherent (laser) light fields