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peatlands, with little consideration of what this decision may mean for downstream aquatic ecosystems. The postdoc will lead the acquisition and analysis of aquatic sensor data collected from a network of
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independently. The workplace The Division of Automatic Control is successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks
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peatlands, with little consideration of what this decision may mean for downstream aquatic ecosystems. The postdoc will lead the acquisition and analysis of aquatic sensor data collected from a network of
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international network and the possibility to make a strong impact through your research. Project and role description The research focuses on combining information from different modalities (e.g., radio, radar
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learning problems involving a-priori known symmetries. A simple example are convolutional neural networks, that are known to be invariant towards translations. Using representation theory, one can build
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English and Swedish Desired qualifications; Experience with rainfall, runoff and water quality models (e.g. SWAT, HYPE, INCA, HBV, etc.) Experience in operating high-frequency sensor networks Experience in
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focuses on integrating various remote sensing precipitation data, including both satellite-based and ground-based radar sensors. Beginning in Spring 2025, the group will launch the research project Opti
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stochastic constraints, Implicit regularization in neural networks, Optimization with quantum computation, Distributed optimization and federated learning, Operator splitting methods in optimization, Continual
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international research networks. Your profile The position is intended for a junior researcher and we are primarily looking for people who have completed their doctoral degree no more than three years ago