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Systems ”focuses its research on modelling, simulation, analysis and optimisation, as well as on the control of complex and dynamical industrial systems and processes. The primary goal is to enhance product
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test plans for process and material investigations, as well as a solid understanding of materials science. Experience in characterisation methods, particularly diffraction techniques, is an advantage
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help our partners by making technical systems more robust, reliable, flexible, and easy to use. At the same time, we increase the resource efficiency of industrial processes by reducing waste, product
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, energy suppliers, and other stakeholders in the power system industry to ensure that our research has real-world impact and contributes to the reliable and sustainable operation of future energy systems
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contribution to the economy and society. The Competence Unit Digital Resilient Cities , part of the Center for Energysupports cities and their stakeholders in the cross-sectoral transformation process, combining
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the agricultural or food sector Knowledge and experience in technological processes Excellent written and spoken German and English skills Strong team spirit, commitment, a responsible approach to work, as
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Scientist (f/m/d) for System Transition Modelling & Policy (Full time / Part-Time: 25+ hours / week)
the question of how transition processes and policies can be designed to best contribute to the solution of major societal challenges. Therefore, our scientists place a research focus on the design and analysis
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
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help our partners by making technical systems more robust, reliable, flexible, and easy to use. At the same time, we increase the resource efficiency of industrial processes by reducing waste, product
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area