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district energy systems, both commercial and open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy
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Description of the workplace The position is located at the Division of Heat Transfer at the Department of Energy Sciences. At the division, we conduct research and education on the energy
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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and
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or low-energy treatment because they can accumulate metals in their biomass while producing a material that may allow valuable elements to be recovered. The project focuses on the interactions between
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of Engineering Sciences brings together a large part of the University’s Bachelor of Science in Engineering and Master of Science in Engineering programmes in fields such as energy engineering, mechanical
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-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by combining
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
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sustainable energy technologies. About us The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research