36 computational-materials-chemistry-physics PhD positions at Chalmers University of Technology in Sweden
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for: To qualify as a PhD student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in a relevant field such as chemistry and materials science. * You
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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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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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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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, you must have a MSc degree corresponding to at least 240 higher education credits by an internationally recognized university in materials science, mechanical engineering, chemical engineering, physics
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environment The Müller Research Group at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology works at the intersection of physical chemistry and materials science, with a
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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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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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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine