10 physics-engineer-"https:" "https:" "https:" "https:" "NIST" PhD research jobs at AALTO UNIVERSITY
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) Interfacial phenomena and development of biobased barriers, foams, and emulsions Advanced textile recycling, including flotation‑based methods Learn more: https://www.aalto.fi/en/department-of-bioproducts
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Aalto University take approximately four years . You can find more information about Aalto’s doctoral program and its requirements here: https://www.aalto.fi/en/programmes/aalto-doctoral-programme-in
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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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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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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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presentation skills in English. Skills in Finnish are seen as an asset. What we offer 2-year fixed-term contract with the possibility of an extension following a successful midterm review: https
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Magda Posani (building physics) and Assistant Professor Patrick Fleming (structural engineering and architecture) and Assistant Professor Shaohua Chu (cement and concrete design). Beyond Aalto you
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763
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doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme
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physically consistent and to enforce desired structure in the results. The second is physics-informed learning, which combines available historical data with known system dynamics as a regulariser