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, computer vision and pattern recognition, atmospheric modelling, and computational spectroscopy. We focus on in-depth understanding of data and related algorithms, data analysis, and machine learning. Our
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-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting theme is machine learning-enhanced computational engineering. You’ll have an excellent
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science community in Lahti, conduct both fundamental and applied research, and help develop new ideas and future directions in sustainable separation technologies. What your work will be like Your work will
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to develop and implement advanced model order reduction (MOR) methods for flexible multibody dynamics. The work focuses on the floating frame of reference formulation (FFRF) and parametric MOR extensions
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environment, and continued commitment to your support, learning, training, and development. For further information, please contact Lea Hannola, Associate Professor, +358 40 822 3982, lea.hannola@lut.fi
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of the construction industry. About the roles In the building energy systems professorship, you will lead research on energy-efficient and sustainable building systems. The role offers the opportunity to develop
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environment, and continued commitment to your support, learning, training, and development. For further information, please contact Professor Ville Uusitalo, +358 40 586 4486, ville.uusitalo@lut.fi, and
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to your support, learning, training, and development. For further information, please contact Timo Kärri, Professor, +358 50 322 3320, timo.karri@lut.fi. Please submit your application by December 1, 2025
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physics; heat and moisture transfer in structures 2) construction materials; new material solutions and material development 3) wood, steel, concrete, or composite structures 4) hybrid solutions, especially
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of the South Karelia region, covering nine municipalities. At the Well-being services county of South Karelia, the professorship supports the development of the county’s system of operation based on lean