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of asphalt mixtures, field data analysis and calibration using case-road tests. The candidate will work in close cooperation with the Norwegian Public Roads Administration (Statens Vegvesen) to achieve
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to determine material properties of reclaimed steel. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models