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at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
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contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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project focuses on the design, modeling, control, and management of microgrids for AI data centers. The project is funded by the Swedish Energy Agency in close collaboration with Arjeplog Municipality
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
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architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and lifecycle management. At the same time, the project
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commitment and self-motivation to academic work/career Knowledge background about transport and energy modeling and simulation Programming skills for deep learning You are expected to be somewhat accustomed
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models together with Professor Anders Kvanta and Dr. Filippo Locri. Once functionality has been demonstrated in animal models, the work will focus on making the method clinically compatible for future
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If you enjoy turning complex dynamic systems into clear models and want your research to actually change how trucks can be developed into more sustainable actors in the transport system