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helps us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate
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background in mechanics and computational engineering. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include
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. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include solid mechanics, mechanical engineering, computational
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in heat transfer, mathematical methods in engineering physics, and a demonstrated interest in numerical methods, and high-performance computing. Applicants should hold a master’s degree with excellent
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community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our research focuses on
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our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. At the Department of Applied Physics, our pioneering
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theoretical physics, mathematics, computer science, or other relevant field. have a keen interest in quantum computing have a working proficiency in English. (Finnish language is not required.) The research
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interpretation of host stars’ dynamo mechanisms and magnetic activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind
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activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind modelling. Key tasks and responsibilities: Develop and implement
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in chemistry, physics and materials science. Together, you will help advance a key scientific discipline that directly impacts important technological and societal topics such as thermoelectric energy