AI Modelling for Maritime Sustainability
Project Description:
This PhD project focuses on developing AI-enhanced numerical tools to optimize the performance of green energy devices in the marine and maritime sectors, such as wave energy converters, offshore wind turbines, and wind-assisted propulsion systems. These devices are crucial for addressing urgent decarbonization challenges. The research will leverage the Lattice Boltzmann Method (LBM) for fluid-structure interaction modeling, allowing for better handling of complex boundary conditions and efficient simulations. Additionally, AI technology will be used to improve turbulence modeling accuracy and efficiency.
Research Opportunities and Collaboration:
As part of this PhD project, you will benefit from the opportunity to:
Develop innovative models: Design and test new mathematical and computational models that push the boundaries of fluid-structure interaction research in energy systems.
Collaborate with leading experts: Work alongside a team of experts within the Maritime Engineering Group at the University of Southampton, where you will have access to cutting-edge facilities, simulation tools, and industry connections.
Contribute to global research efforts: Join the university’s broader effort to tackle decarbonization challenges within the maritime sector. You will have the opportunity to present your findings at national and international conferences, as well as contribute to high-impact journal publications.
Engage in interdisciplinary work: This project offers a unique blend of fluid dynamics, artificial intelligence, and engineering applications, giving you the chance to develop expertise across several critical fields.
Key Responsibilities:
Develop AI-aided models to analyze and optimize energy-harvesting devices.
Enhance turbulence models using AI for improved simulation accuracy.
Collaborate with experts in the Maritime Engineering Group to drive innovation in sustainable maritime solutions.
Candidate Requirements:
A strong undergraduate degree (at least UK 2:1 or equivalent) in engineering, mathematics, physics, or computer science.
Proficiency in programming (MATLAB, Python, or C++).
Interest in AI and computational modeling, with the ability to work independently and collaboratively
Contact Information:
For any informal inquiries regarding the project, please contact Dr Kang Ren at:
Email: k.ren@soton.ac.uk
For additional information regarding the application process, you may also reach out to the Faculty of Engineering and Physical Sciences Graduate Office at:
Email: feps-pgr-apply@soton.ac.uk
Funding Information:
A range of funding opportunities is available for both UK and international students, including Bursaries and Scholarships. Funding is allocated on a rolling basis, so applying early for the best opportunity to secure financial support is recommended.
For more funding options, please visit the University of Southampton Doctoral College.
Application Process:
To apply for this PhD opportunity, follow these steps:
Online Application:
Begin by completing the online application form. Select the Research program type for the academic year 2024/25, choosing the Faculty of Engineering and Physical Sciences. On the following page, select PhD Engineering & Environment (Full-time).Supervisor Details:
In Section 2 of the application form, ensure that you include the name of the primary supervisor, Dr Kang Ren.Required Documents:
Applicants are expected to submit the following supporting documents:Research Proposal: A brief outline of your research interests and how they align with the project objectives.
Curriculum Vitae (CV): Detailing your academic and professional background.
Two Reference Letters: These should be provided by individuals who can speak to your academic abilities and potential for success in a PhD program.
Degree Transcripts/Certificates: Evidence of your academic achievements to date.
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