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knowledge, innovations, and solutions that help move the world forward. Faculty of Civil Engineering and Geosciences The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding
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infrastructure Job description We are looking for an enthusiastic and talented PhD student to join the NWO-VIDI project 'Not-Just-Water' to investigate the impact of extreme water events on (infra)structure
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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to maintain the tunnel stable. At depths of several hundred metres, validated design guidelines for this combination of challenges do not yet exist, which limits optimal decision-making. This PhD
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-world AV–VRU interactions poorly understood. In this PhD role you will focus on employing Virtual Reality technologies to better understand this complex interaction process and explore how external Human
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and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway
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PhD candidate, you will join the Railway Engineering Section within the Department of Engineering Structures at the Faculty of Civil Engineering and Geosciences of TU Delft. You will work closely with
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the microbial nitrogen cycle for a more sustainable future. As a PhD candidate, you will combine experimental and computational approaches to uncover how microbial communities drive nitrogen transformations and