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building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming
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of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a
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possible selection criteria Research on aggregation methods for raw material requirements at technology and system level Familiarization with the national energy system model ETHOS.NESTOR and, if necessary
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and efficiency Your Profile: Very good academic record and currently enrolled in a Master’s program in engineering (energy technology, mechanical engineering, industrial engineering) or a related field
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science, applied mathematics, computational science and engineering or a related subject Strong capabilities in software engineering and programming are essential. You should have very good knowledge of and
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and the latest technology Qualified support through your scientific colleagues A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
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, conferences, and as scientific papers Contribute to educational events, such as hackathons, data challenges and courses Your Profile: Excellent Master`s degree in computer science, science, engineering or in a
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Your Job: However, one of the main hurdles related to AEMWE technology is to develop low-cost and robust catalysts that can withstand the harsh reaction environment without compromising
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quantum mechanical models Your Profile: Scientific Master degree or comparable degree in electrical engineering, computer science, physics, or similar field Basic knowledge in (integrated) circuit design