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the University of Groningen. The research will be carried out in the Systems, Control and Optimization Group. Our group is part of the Jan C. Willems Center for Systems and Control that unites the different
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‑dependent data is often unavailable and many traditional monitoring methods are too resource‑intensive or unsuited to the complex, delicate habitats used by juvenile fishes. This project aims to offer both
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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central scientific challenge will be to learn integrated representations of forest ecosystems from datasets with very different characteristics, resolutions, coverage, and levels of supervision
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of vision systems and AI techniques for perception, decision-making, and control, enabling robots to operate reliably in complex agricultural environments. The research will involve design, experimentation
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of individual swimmers and the complexity of the associated hydrodynamic flows gives rise to a wide range of collective behaviors that remain poorly understood. Addressing this complexity requires the development
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of materials are fed into the machines at the same time. These may include virgin materials from different suppliers, recycled content of varying quality, colourants, stabilizers and other masterbatches
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herbivore and pollinator species Analyse complex ecological datasets, linking soil, plant and insect variables Co-supervise MSc students conducting thesis research within the project Publish your results in a
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experts on dynamical systems and ergodic theory, postdoctoral researchers Josias Reppekus and Misha Hlushchanka, both active in different areas of complex dynamical systems. PhD students and postdoctoral
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to detect health risks to humans and the environment, to better understand pollutant dynamics, and to achieve a molecular-level understanding of complex systems. Project A major challenge facing our society