29 postdoc-in-system-identification PhD positions at Chalmers University of Technology in Sweden
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with real-world applications, in collaboration with Volvo Cars and Volvo Group. This is an ideal position for candidates interested in interpretable AI, safety guarantees, and high-impact research in
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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
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techniques. Our work is interdisciplinary by nature and is addressing topics that have a direct impact on sustainability. The division is collaborating closely with other universities and research institutes
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for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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energy efficiency, in close collaboration with industry. The division is responsible for educating Naval Architects and Ocean Engineers within the international master's program Mobility Engineering at
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Exciting Opportunity in Sustainable Energy Research: Join Us in Advancing Hydrogen Storage Technology! Hydrogen is a critical energy carrier for future sustainable systems. One issue using hydrogen
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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novel sustainable materials. This PhD project is a great opportunity to pursue pioneering research on the scale-up of circular, biobased material solutions for architectural applications in sustainable
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ingredients will be explored, maximizing the acceptance of algae-containing foods on the European market. The division of Food and Nutrition Science (FNS) is one of four research divisions at the Department