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an international, committed and collegial team Excellent technical equipment and the newest technology Qualified support through your scientific colleagues The chance to independently prepare and work on your tasks
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technology Qualified support through your scientific colleagues The chance to independently prepare and work on your tasks The possibility of (location-) flexible working, e.g. home office A large research
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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of global trends and technology-specific impacts on electricity production Integration of projected volatile electricity production into existing energy system models along with an assessment of how climate