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

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.

Programme Structure

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

Admission requirements

Academic requirements

GPA: Upper Second Class

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

• You should have an honours degree at 2.1 or above, and/or a Masters degree in a relevant discipline.
• IELTS 6.5

Fees and funding

Tuition Fees

Tuition fees are shown in AUD and the most likely applicable fee is shown based on your nationality.

International: 50,199 AUD / year (≈ 26,570 GBP / year)

Domestic: 9,042 AUD / year (≈ 4,786 GBP / year)

Living costs

Dundee, United Kingdom: 1,487-2,823 AUD / month

Funding

Scholarships

Below you will find PhD's scholarship opportunities for Data-driven Site-specific Seabed Characterisation for Floating Offshore Wind using Image-based Machine Learning.