Data-driven Site-specific Seabed Characterisation for Floating Offshore Wind using Image-based Machine Learning
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UK
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University of Dundee
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On Campus (Full Time)
3 years-
PhD Studentship
Oct 2025
On Campus (Full Time) Position Details (PhD Program)
ThisData-driven Site-specific Seabed Characterisation for Floating Offshore Wind using Image-based Machine Learning project is offered at University of Dundee.
This Data-driven Site-specific Seabed Characterisation for Floating Offshore Wind using Image-based Machine Learning project at University of Dundee aims to develop a novel machine learning (ML)-based data-driven approach for site-specific seabed characterisation in offshore settings.
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This project will construct high-resolution three-dimensional models of seabed properties with quantified uncertainties required for FOWT anchor design by
- integrating multiple sources of sparse site-specific geo-data with using an image-based machine learning method