14 electrical-engineering-"https:" "https:" "https:" "https:" "https:" PhD positions at Chalmers University of Technology
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compactness, reliability, EMI, controllability, and efficiency. Who we are looking for The following requirements are mandatory: Master's degree with 120 credits in electrical engineering with power
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geometry assurance, robust design, systems engineering, product development methods, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https
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electrical engineering with power electronics and control as major direction. Comprehensive knowledge on hardware and control of traction inverters/motors, DC/DC converters, and on-board chargers. Skills to
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reviewed on an ongoing basis. For questions please contact: Prof. Annika Lang (Mathematical Sciences) Prof. Balazs Kulcsar (Electrical Engineering) Dr Irina Pettersson (enhetschef, Applied
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credits* in Mechanical Engineering, Electrical Engineering, Complex adaptiv systems, Data science and AI, Biomedical engineering, or a closely related field Strong written and verbal communication skills
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requirements are mandatory: Master's degree with 120 credits in electrical engineering with power electronics and control as major direction. Comprehensive knowledge on hardware and control of power
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and Chemical Engineering of Chalmers University of Technology in Gothenburg, Sweden. Become part of our group and contribute to exciting research in the field of organic electronics within a
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student, you must have a master's level degree* corresponding to at least 240 higher education credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
to join the European Marie Sklodowska-Curie training network FADOS. The position is based in the research group of Christian Müller at the Department of Chemistry and Chemical Engineering. As part of
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, Electrical engineering, or equivalent. You will need strong written and verbal communication skills in English. Strong machine learning fundamentals (probability, statistics, optimization) and strong