Digital Twin Researcher for Offshore Wind Turbines
3 weken geleden
Project Overview
TNO is seeking a highly motivated researcher to work on the development of a physics-informed learning digital twin for offshore wind turbines. The successful candidate will be part of a multi-disciplinary team and will contribute to the design and implementation of a digital twin that can accurately predict the behavior of offshore wind turbines.
Key Responsibilities
- Develop a physics-informed learning digital twin for offshore wind turbines
- Study and review the state-of-the-art digital twin methods for offshore wind turbine application
- Provide case studies on virtual sensor application through the developed digital twin
- Assist TNO colleagues to further develop in-house code that is linked to the topic
- Contribute to technical reports and presentations
Requirements
- Relevant STEM degree (e.g. mathematics/physics, mechanical/aerospace engineering, or sustainable energy technology)
- Enthusiasm for research and technology development
- Highly motivated to work within the renewable energy industry or academia
- Interest in digital system design
- Strong programming skills
- Interest in renewable energy system and machine learning algorithm design
- Independent and self-motivated working attitude
- Excellent communication skills in English both verbally and in writing
What We Offer
- A highly professional, innovative internship environment, within a team of top experts
- A suitable internship allowance
- Possibility of eight hours of free leave per internship month
- A free membership of TNO's employee network
- Use of a laptop
- An allowance for travel expenses
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