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Optimisation of Offshore Wind Farm Placement and Operation Using AI and Ocean Forecasting

   Department of Naval Architecture, Ocean & Marine Engineering

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  Dr Laibing Jia, Dr Katherine Tant, Dr Bahareh Kamranzad  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Exciting PhD Opportunity in AI-Based Ocean Forecasts for Marine Operations at the Strathclyde Centre for Doctoral Training (SCDT)

🔮 About the Project:

Are you passionate about the potential of Artificial Intelligence (AI)? Want to make a meaningful impact on marine operations? This is your chance to be a part of the future-shaping project at SCDT. We're on a mission to leverage AI in revolutionizing offshore renewable energy production. Our aim is to seamlessly integrate real-time ocean data with sophisticated AI algorithms. The result? An advanced decision-support system that empowers operators with real-time insights to optimize turbine placement and energy production. Your contribution will not only boost profits but also significantly minimize environmental impacts.

🎯 The Role:

As a valued member of our dedicated team, you'll have the unique opportunity to work under the supervision of our esteemed guides, Dr Laibing Jia, Dr Bahareh Kamranzad, and Dr Katherine Tant. You'll collaborate across departments at the University of Strathclyde, rubbing shoulders with industry professionals and contributing to globally recognized research institutions.

💡 We Seek:

- A future leader eager to share their findings with the world.

- An active participant in the research community.

- A keen learner ready to seize every opportunity.

- Knowledge of fluid mechanics, ocean modelling, AI, or programming languages such as MATLAB, Python would be a significant advantage.

🌍 About Us:

The University of Strathclyde, a globally recognized research institution, has recently launched the SCDT in "AI-based Ocean Forecasts for Marine Operations". This multidisciplinary centre aims to redefine research in AI, ocean forecasting, and marine operations. At SCDT, we are committed to delivering robust data on ocean climate, marine renewable energies, and coastal hazards while fostering a world-class research environment.

📚 Key Qualifications and Skills:

- An upper-second class honours degree or an MSc with distinction in Engineering, Physical Sciences, Math, or a related field.

- Excellent written and verbal communication skills.

- Strong analytical and problem-solving abilities.

- Capability to work independently and as part of a collaborative team.

💼 Desirable:

- Prior knowledge or experience in ocean modelling, coastal processes, and AI.

- Proficiency in programming languages like MATLAB, Python.

- Background in HPC-based computer modelling.

- Previous research experience, preferably a research project or dissertation.

🗓️ Important Dates:

The studentship starts in October 2023 and will last for 3.5 years. Apply now!

💰 Funding:

The studentship covers the stipend and home-fees. However, international students are expected to cover the difference between home and international tuition fees.

✉️ Contact Details:

Dr Laibing Jia

Email: [Email Address Removed] (please include 'SCDT' in your email subject line).

link to the application portal: Optimisation of Offshore Wind Farm Placement and Operation Using AI and Ocean Forecasting | University of Strathclyde

This is an opportunity not to be missed. Step into the future with us at SCDT and make a global impact in AI-based ocean forecasting!

Funding Notes

The studentship covers the costs of the stipend and fees at a home-fees level. We welcome international students to apply, provided they are able to cover the difference between the home and international tuition fees on their own.

How good is research at University of Strathclyde in Engineering?

Research output data provided by the Research Excellence Framework (REF)

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