PhD Researcher in Reinforcement Learning for Wind Energy Systems

12 hours ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full time

Researcher Position in Wind Energy Optimization

Danmarks Tekniske Universitet (DTU) Wind invites applications for a PhD researcher position in reinforcement learning for wind energy systems. The successful candidate will contribute to the development of AI-driven algorithms for wind farm control optimization.

To succeed in this role, you should have a solid background in engineering or computer science, with experience in programming, data science, and machine learning. You should be passionate about exploring the complexities of wind energy systems and have a strong interest in scientific programming.

Key Responsibilities:

  • Developing and testing novel AI-driven algorithms for wind farm control, with a focus on accuracy, reliability, and robustness
  • Comparing the performance of AI-driven strategies with physics-based approaches, including an evaluation of potential benefits
  • Conducting risk and uncertainty assessments using ensemble modeling

This research project offers a chance to collaborate with a team of researchers and engineers at DTU and external partners in academia and industry. You will gain access to advanced training opportunities in European universities and engage in scientific discussions within the MSCA DN community.



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