10 computational-materials-physics PhD positions at Chalmers University of Technology
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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closely with a co-supervisor at the Division of Material and Computational Mechanics. The NEST-WISE project offers a vibrant collaborative environment and close interaction with academic and industrial
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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cladding materials. We will develop a full methodology for computational design, robotic 3D printing, assembly and disassembly of the panels, and demonstrate their application in typical insulated wall frame
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Physics, Chemistry, or Materials Science. A strong background in quantum mechanics, thermodynamics, and statistical mechanics. Documented experience in programming. A strong interest in atomistic modeling
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to construction processes, policies, or material flows. Familiarity with research or practice at the intersection of building production methods, circular business models, and sustainability transitions. Experience
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of Industrial and Materials Science (IMS) . The Maintenance Engineering research group is a vibrant, ambitious, and multi-disciplinary team of international researchers driven by the vision to renew
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, for example, a 4-year bachelor's degree is accepted. Previous coursework in cyber-physical systems, formal verification, computational logic, AI, or statistical methods would be beneficial but not required