Ravi Pandit
10 months ago
Offshore renewable energy, AI, structural mechanics Cranfield University in United Kingdom
Degree Level
PhD
Field of study
Artificial Intelligence
Funding
Full funding availableDeadline
December 31, 2026
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
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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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