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and development. Project overview The ongoing transition from synchronous machine-based generation to converter-dominated renewable energy sources presents new challenges for the operation, control, and
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of sustainable high-performance steels. Qualifications A successful candidate has a theoretical depth in materials science and physics of metals and an experimental interest. Knowledge in thermodynamics, phase
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to operate around the clock. By ensuring the performance, longevity, and circularity of industrial systems such as advanced manufacturing (e.g., automotive and battery) and renewable energy (e.g., energy
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the demand for energy storage soars, lithium-ion batteries lead the charge—but are they truly the most sustainable option? We are diving deep into the environmental performance of emerging battery
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or two PhD students in Statistics who can perform high quality statistical research. Apply May 11, 2025 at the latest. We are seeking one or two PhD students that will work within the department’s research
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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teaching conducted is supported by high-quality infrastructure with state-of-the-art laboratories for electromagnetic compatibility and microelectronics. We are now looking for a PhD student who can
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will perform computational modeling of perceived safety and comfort zone boundaries based on in-project data collection from drivers. The modeling will be both rule- and machine-learning/AI based
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the High-Performance and Automatic Computing group (HPAC), and jointly supervised by Paolo Bientinesi and Lars Karlsson. HPAC’s webpage: https://hpac.cs.umu.se/ Admission requirements The general admission