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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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research will be supervised by Prof. Christof Devriendt, head of the research group on structural integrity monitoring for offshore structures and Dr. Francisco de Nolasco, postdoctoral researcher working
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graphs. The prototype you will develop using IDP-Z3 will be integrated with results from the other groups to deliver a tool that can benefit both from expert knowledge (your part) as well as from data (U
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(structural integrity monitoring) and Dr. Francisco de Nolasco (graph neural networks). Additionally, you will be part of large and vibrant group of doctoral and postdoctoral researchers (∼20) involved in both