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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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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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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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. 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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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
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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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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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• 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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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