Design and Develop a Physics-Informed Digital Twin for Offshore Wind Turbines
6 uur geleden
At TNO, we are committed to making wind energy a reliable, integrated, and cost-effective source of renewable energy that is widely accepted by the public.
About the ProjectIn this project, you will be working on developing a physics-informed digital twin for offshore wind turbines. This involves studying and reviewing the state-of-the-art digital twin methods for offshore wind turbine applications, developing a learning-based digital twin for offshore wind turbines, and providing case studies on virtual sensor applications through the developed digital twin.
About the RoleWe are looking for a highly motivated and enthusiastic master student to join our team at the Wind Energy group of TNO. The ideal candidate should have a relevant STEM degree (e.g., mathematics/physics, mechanical/aerospace engineering, or sustainable energy technology) and strong programming skills, with knowledge of Python, Matlab, and/or Simulink being an advantage.
The selected candidate will work in close cooperation with TU Delft Mechanical Engineering and will be responsible for assisting TNO colleagues in further developing in-house code linked to the topic.
What We OfferAs a master student at TNO, you will have the opportunity to work in a highly professional and innovative environment, where your knowledge and skills are essential to our innovation. You will receive proper supervision during your work placement and be given the scope to get the best out of yourself.
TNO offers:
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