A fully funded PhD opportunity is available in Data-Centric Offshore Site Characterisation for Sustainable and Resilient Infrastructure, supervised by Dr Shuyin Feng, Dr Andy Lim, and Dr Florimond Gueniat. The project focuses on developing AI and machine learning models to integrate multi-source seabed data, aiming to reduce the cost and environmental impact of offshore site investigations and support sustainable energy infrastructure. The successful candidate will join a multidisciplinary team and work on cutting-edge research at the intersection of geotechnical engineering, earth science, and data science. Applicants should have a background in Geotechnical Engineering, Earth Science, Data Science, or related fields, with strong analytical and programming skills. The position offers a £20,780 tax-free stipend per year and full tuition coverage for both UK and international students, with a duration of 36 months. The application deadline is midday (UK time) on 17 September 2025, and the start date is 2 February 2026. For more details and to apply, visit the provided link.

A fully funded PhD position is available focusing on Data-Centric Offshore Site Characterisation for Sustainable and Resilient Infrastructure. The project involves developing AI and machine learning models to integrate multi-source seabed data, aiming to reduce the cost and environmental impact of offshore site investigations and support sustainable energy infrastructure. The supervisory team includes Dr Shuyin Feng, Dr Andy Lim, and Dr Florimond Gueniat. Candidates should have a background in Geotechnical Engineering, Earth Science, Data Science, or related fields, with strong analytical and programming skills. The position offers a £20,780 tax-free stipend per year and full tuition coverage for both UK and international students, with a duration of 36 months. The start date is 2 February 2026, and the application deadline is midday (UK time) on 17 September 2025. For more details and to apply, visit the provided link.

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A fully funded PhD opportunity is available in Data-Centric Offshore Site Characterisation for Sustainable and Resilient Infrastructure, supervised by Dr Shuyin Feng, Dr Andy Lim, and Dr Florimond Gueniat. The project focuses on developing AI and machine learning models to integrate multi-source seabed data, aiming to reduce the cost and environmental impact of offshore site investigations and support sustainable energy infrastructure. Candidates should have a background in Geotechnical Engineering, Earth Science, Data Science, or related fields, with strong analytical and programming skills. The position offers a tax-free stipend of £20,780 per year and full tuition coverage for both UK and international students, with a duration of 36 months. The start date is 2 February 2026, and the application deadline is midday (UK time) on 17 September 2025. For more details and to apply, visit the provided link. This opportunity is ideal for students interested in the intersection of civil engineering, earth science, and data-driven approaches to sustainable infrastructure.

A fully funded PhD opportunity is available in Data-Centric Offshore Site Characterisation for Sustainable and Resilient Infrastructure, supervised by Dr Shuyin Feng, Dr Andy Lim, and Dr Florimond Gueniat. The project focuses on developing AI and machine learning models to integrate multi-source seabed data, aiming to reduce the cost and environmental impact of offshore site investigations and support sustainable energy infrastructure. Candidates should have a background in Geotechnical Engineering, Earth Science, Data Science, or related fields, with strong analytical and programming skills. The position offers a £20,780 tax-free stipend per year and full tuition coverage for both UK and international students, with a duration of 36 months. The start date is 2 February 2026, and the application deadline is midday (UK time) on 17 September 2025. For more details and to apply, visit the provided link.