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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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Are you interested in doctoral research and acquiring exciting career opportunities, in academia and beyond? We now offer a PhD student position in architectural design and robotic 3D printing with
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lithium-ion battery cell chemistries, formats, and design alternatives. The model can be used to support lifecycle assessment studies and to guide the selection of cells for various applications. Key tasks
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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30 countries is widely recognized for excellent research and education. Our department is located in Sweden's second largest city Gothenburg - the world's most sustainable destination every year since
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employees from more than 30 countries is widely recognized for excellent research and education. Our department is located in Sweden's second largest city Gothenburg - the world's most sustainable destination
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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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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML