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analysis. Personal Attributes We place great importance on personal suitability. To succeed in this role, you should demonstrate: A high sense of responsibility and integrity Strong analytical and problem
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of AI and machine learning methods for advanced modelling and analysis of energy and industrial processes Experience with high-temperature processes, particularly in metal and mineral processing
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by an applicant who has been working operatively for a long time, will therefore not be a deciding factor. In addition to the established basic assessment criteria, according to the Appointment
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been working operatively for a long time, will therefore not be a deciding factor. In addition to the established basic assessment criteria, according to the Appointment Regulations for Mälardalens
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CAD, machine elements, solid mechanics, materials engineering, design - Supervision of students and PhD students - Collaboration with external academic and industrial partners - Contribution
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environment. The position requires the ability to work independently, solve problems proactively, and engage in both technical analysis and practical tasks. Strong communication skills and the ability to work
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on the following criteria: Knowledge in electric power engineering, power electronics, and power system analysis Experience in modelling, simulation, and experimental work Proficiency in Swedish and English, both
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be paid to the following experiences: -Experience in sampling and analyses of building materials -Experience in Life Cycle Analysis in construction sector. -Experience in building information modeling
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workshops, collection and analysis of data, writing of scientific texts, participation in and leading funding applications and other tasks related to RoC's activities e.g. within the framework of CoP and the