18 phd-in-electronic-engineering PhD positions at Chalmers University of Technology in Sweden
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We are looking for a PhD student in aerothermal design of an outlet stator for an ultra-efficient aircraft engine (so-called outlet turbine rear structure, TRS). The position is in tight cooperation
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, and fellow PhD students Take advanced-level courses within the Graduate School of Shipping and Marine Technology , specializing in Maritime Environmental Science Contribute to departmental teaching
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the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide
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researchers, industry professionals, and fellow PhD students Taking advanced courses within the Graduate School in Shipping and Marine Technology , with a specialization in Maritime Environmental Science
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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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that the application is complete. Incomplete applications and applications sent by email will not be considered. For questions, please contact: Evelina Wikner, Assistant Professor, Division of Electric Power Engineering
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• Excellent collaboration skills • Strong proficiency in English, both written and spoken. Merits: Experience in organic electronics and/or fiber spinning is considered a strong asset. Contract terms As a PhD
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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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. Qualifications To be eligible for a PhD position, you must: Hold, by the starting date, a Master's-level degree corresponding to at least 240 higher education credits in Computer Science and Engineering or a
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning