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Field
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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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for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and
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. Programme duration 6 semesters Beginning Winter semester Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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collaboration with Prof. Bryce Richards (IMT). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology
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with Prof. Dr. Bryce Richards who leads the Nanophotonics for Energy group (IMT & LTI). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I
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is hosted by the new Institute for Advanced Membrane Technology (IAMT). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I. Schäfer
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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). Please also plan ahead to inform and get consent from two academic referees who agree to submit reference letters on your behalf. Applications for the PhD programme in Solar System Science may be
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engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage High motivation to complete the doctorate within three years Very good