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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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description of current literature on which you would base your research, both methodologically and in terms of the concrete PhD topic. Your workplace The Department of Computer and Information
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unique challenges from a machine learning perspective, calling for novel machine learning research that will push the boundaries beyond the current state-of-the-art. As a PhD student, you devote most
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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the Higher Education Ordinance. To meet the general entry requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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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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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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computer science, computer engineering, electrical engineering, or another relevant field. Equivalent requirements apply to individuals with an education earned outside of Sweden, for example a 4-year bachelor's
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degree (magisterexamen) of 60 credits in computer science, computer engineering, electrical engineering, or another relevant field* You will need strong written and verbal communication skills in English