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on future sustainable and flexible production systems, where smart and portable automation plays a central role. The candidate is expected to contribute to the development of new methods, technologies, and
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, optimization, analysis and/or control of renewable energy technologies and energy storage technologies in buildings; AI methods applied to building or energy systems; District heating systems. In an overall
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duration of the education, which corresponds to four years. Position description As a doctoral student, you will conduct research focusing on the development and application of AI-based methods for energy
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gasification and pyrolysis Good programming skills in MATLAB, Aspen Plus, Modelica, etc Good knowledge of data driven methods for modelling and optimization Good knowledge of AI Experiences in scientific
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sustainable and flexible production systems, where smart and portable automation plays a central role. The candidate is expected to contribute to the development of new methods, technologies, and prototypes