AI-Based Approaches for Ocean Forecast and Development of Ensemble Ocean Climate Data

The Strathclyde Centre for Doctoral Training (SCDT) in "Artificial Intelligence (AI)-based Ocean Forecasts for Marine Operations" is pleased to announce an available PhD studentship position at the Department of Civil & Environmental Engineering, University of Strathclyde. The Centre will advance research in three key areas: AI, ocean forecasting, and marine operations, and will deliver reliable and robust data on ocean climate, marine renewable energies, and coastal hazards to various stakeholders and aims to establish a multi-disciplinary research environment conducting world-leading research. The successful applicant will have the unique opportunity to collaborate with multiple departments at the University of Strathclyde, including Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, and Mathematics and Statistics. Additionally, they will work alongside external partners such as industry professionals and national and international research institutions.

The successful candidate for this studentship will contribute to the project: AI-Based Approaches for Ocean Forecast and Development of Ensemble Ocean Climate Data.

It should be noted that the primary department where the successful applicant will be based is the Department of Civil & Environmental Engineering. The successful candidate’s supervision will be led by Dr Bahareh Kamranzad in collaboration with Dr Laibing Jia, Dr Katherine Tant and Dr Chris White from the University of Strathclyde.

The faculty of Engineering at the University of Strathclyde is one of the largest in the UK and the largest engineering department in Scotland. In 2022, the Department of Civil & Environmental Engineering became the only engineering department in the UK to hold a Gold Athena Swan Award. 

Eligibility: We encourage applications from UK-based students for this position. However, we also welcome international students to apply, provided they are able to cover the difference between the home and international tuition fees on their own.

The successful candidate will be expected to: 

• Conduct high-quality research in the areas of ocean modelling, wave prediction, and artificial intelligence
• Participate in relevant training activities and events provided by the CDT
• Disseminate research findings through publications and presentations
• Contribute to the wider research community through engagement and collaboration with other researchers

Qualifications: 

• Applicants should hold (or expect to get) a minimum of an upper second class honours degree or an MSc with distinction in engineering, physical sciences, maths, or a related field.
• Prior knowledge or experience in ocean modelling, coastal processes and Artificial Intelligence (AI) would be advantageous but not essential.
• Some programming experience in analytical languages such as MATLAB, Python or R would be beneficial.
• A background in HPC-based computer modelling is desirable but not essential.
• Experience in research, preferably in the form of a research project or dissertation would be beneficial.
• Excellent written and verbal communication skills
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team

The studentship is due to commence in October 2023.

For more information, including details of how to apply* please visit HERE.

* When applying, please clearly mention in "Area of Research" that you are applying for "AI-Based Approaches for Ocean Forecast and Development of Ensemble Ocean Climate Data".

To discuss your application and for informal inquiries about the studentship, please send your CV and inquiries to Dr Bahareh Kamranzad.