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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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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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through testing of the controller to ensure functionality and reliability before releasing it for operational use. Your Profile: Master studies with good grades in computer engineering, computer
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research data management activities, semantic and infrastructural engineering in the field of Material Science, e.g. within NFDI-MatWerk Dissemination of developed tools and concepts within interest groups
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
the theoretical and computational infrastructure to employ quantum optimal control methods, where simulated spin models are directly used to engineer NMR experiments. At the core of this project stands the Python
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activities, semantic and infrastructural engineering in the field of Material Science, e.g. within NFDI-MatWerk Dissemination of developed tools and concepts within interest groups, workshops and training
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natural sciences or engineering and preferably a PhD and furthermore ideally already have good knowledge of science management and committee work You have already acquired basic knowledge and work
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finding solutions for the realization of the clean energy transition. Your Profile: Above-average university degree (Master) in engineering (energy technology, process engineering, mechanical engineering
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presentation of simulation results Your Profile: Currently enrolled in a master`s program in process engineering, chemical engineering, or a related field Knowledge in hydrogen and energy research is