Ravi Pandit
9 months ago
Offshore renewable energy Cranfield University in United Kingdom
Degree Level
PhD
Field of study
Environmental Science
Funding
Self-funded
Deadline
Expired
Country
United Kingdom
University
University Name
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Where to contact
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Keywords
Environmental Science
Mechanical Engineering
Civil Engineering
Wind Energy
Energy Engineering
Structural Engineering
Diffusion
Environmental Sustainability
Generative Modeling
Energy Transition
Industrial Application
Finite Element Analysis
Machine learning
About this position
Funding details
Self-funded
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"Generative Design of Offshore Wind Foundations Using Physics-Informed AI" at Cranfield University
This is a unique opportunity to tackle real-world challenges in offshore renewable energy, combining generative AI, physics-informed neural networks (PINNs), and structural/geotechnical data to automate and optimize wind turbine foundation design.
Key things to know:
?? Open to both UK and international students
?? Work at the intersection of AI, structural mechanics & renewable energy
?? Develop tools using VAEs, diffusion models, and finite element validation
?? Access to HPC, Abaqus, OpenFAST, and digital twin platforms
?? Present at conferences & publish in high-impact journals
?? Optional training in ML, offshore codes, or industry software
?? Deadline : 23 July 2025
?? Location: Cranfield, UK (on campus)
?? Open to applicants worldwide (self-funded)
https://lnkd.in/e9HBAbDm
Feel free to reach out if you have any questions or want to know more!
Muhammad Ali Khan
# PhDOpportunity # RenewableEnergy # WindTurbines
# AI # MachineLearning
# PhDLife # Sustainability
# EnergyTransition
# CranfieldUniversity