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knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
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economics, mathematics, business/management, physics, psychology, IT, or related fields • Outstanding quantitative skills (profound knowledge of stochastics and calculus is mandatory; knowledge of game theory
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm
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interdisciplinary field. Strong interest in and basic familiarity with key concepts and debates in political economy and/or social science research on technological change. Good knowledge of quantitative and
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qualifications Excellent Master’s degree in Information Systems, Computer Science, or a similar fiield Experience in Software Engineering Theoretical knowledge or practical experience related to Scaling Agile
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: • You are enthusiastic about science and are longing for knowledge. • You enjoy learning and developing scientific knowledge as well as practical solutions. • Your high motivation and perseverance
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coding background. You must hold a master’s degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar. Knowledge in machine learning is desired. We are looking for a driven
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) or quantitative (e.g., surveys, statistical analysis) methods and demonstrate a willingness to learn about the other approach or mixed-methods research. Knowledge of social science approaches (e.g., psychological
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knowledge of thermodynamics, plant engineering and control engineering. Do flexibility, creativity and a passion for energy technology round off your profile? Then apply for a job with us! We offer you an
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in