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Data-driven Site-specific Seabed Characterisation for Floating Offshore Wind using Image-based Machine Learning

  • //applyindex.com/wp-content/uploads/2023/11/United-Kingdome.png UK
  • University/Institute Name University of Dundee
  • Attendance Type On Campus (Full Time)
  • Position Duration3 years
  • Position Funding Type PhD Studentship
  • Unspecified Unspecified
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Position Details (PhD Program)

This Data-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 Data-driven Site-specific Seabed Characterisation for Floating Offshore Wind using Image-based Machine Learning project at University of Dundee University of Dundee aims to develop a novel machine learning (ML)-based data-driven approach for site-specific seabed characterisation in offshore settings.

Diversity statement

Our research community thrives on the diversity of students and staff which helps to make the University of Dundee a UK university of choice for postgraduate research. We welcome applications from all talented individuals and are committed to widening access to those who have the ability and potential to benefit from higher education.

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

Research Areas & Fields of Study involved in the position

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