Ravi Pandit
7 months ago
Offshore renewable energy, AI, structural mechanics Cranfield University in United Kingdom
Degree Level
PhD
Field of study
Artificial Intelligence
Funding
Self-funded
Deadline
Expired
Country
United Kingdom
University
University Name
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Keywords
Artificial Intelligence
Wind Energy
Energy Engineering
Computational Physics
Structural Engineering
Offshore Engineering
Environmental Sustainability
Generative Modeling
Energy Transition
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