32 low-rank-approximation PhD positions at Chalmers University of Technology in Sweden
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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of Computer Science and Engineering is strongly international, with approximately 300 employees from over 50 countries. The department is a fully integrated department with the University of Gothenburg and Chalmers
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Rosén and Andreas Lindhe (Department of Architecture and Civil Engineering ). We have a strong network with national and international organizations within academia, public authorities and industry. About
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industry. About the research project You will work in the project “Turbulent ship wakes and their effects on the marine environment”, which is a continuation of our pioneering work focused on
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benefit analysis with more practical aspects, such as implementation and real-world applications, in collaboration with project partners Volvo Cars and Autoliv. About us The project is located within
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. About us The PhD position is placed at the Division of Material and Computational Mechanics . We foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. Our
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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skills and knowledge while contributing to a more sustainable future through tomorrow’s manufacturing technologies. Information about the department The main competences at the Department of Industrial and
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implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and