Digital Twin Researcher for Offshore Wind Turbines

3 weken geleden


Rijswijk, Zuid-Holland, Nederland TNO Voltijd

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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