Unlocking Next Generation Wind Farm Design

2 weeks ago


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

At the Technical University of Denmark (DTU), we are driven by a passion for innovation and excellence in research, education, and scientific advice. Our mission is to create value for society through cutting-edge technology, creative collaboration, and bold entrepreneurship.

Job Description: PhD Position in AI Augmented Design Optimization of Wind Farms

We are seeking a talented and motivated PhD candidate to join our team at DTU Wind on the topic of AI augmented design optimization of wind farms. As a researcher, you will contribute to the development of a framework/methodology to better integrate AI into the workflow of wind farm design optimization. Your work will involve investigating the potential of combining machine learning-based surrogate modeling with AI-enabled search & evolutionary algorithms to improve optimization results and reduce computational costs.

You will be affiliated with the System Engineering and Optimization (SYS) section in the Division of Wind Energy Systems. The SYS section works closely with experts from across the department and companies to create simulation, design, and control solutions for wind farms, wind clusters, and hybrid power plants.

About the Project

The project is part of the TWEED Doctoral Network, funded by the EU through the Horizon Europe MSCA program. TWEED aims to train the next generation of researchers equipped with technical and complementary skills to develop high-impact careers in wind energy digitalization. You will have the opportunity to work closely with a group of fellow PhD candidates and experts from academia and industry.

About the Role

We are looking for a highly motivated and talented individual with a strong engineering background and a keen interest in optimization, AI, and wind farm design. Your curiosity guides you to explore and understand the potential of AI in engineering design, and your self-guided nature encourages you to push the limits of what is today possible for a better tomorrow.

Required Skills and Qualifications
  • A master's degree in an engineering field or computer science
  • Proficiency in scientific programming (preferably with Python)
  • A background in optimization
About the Benefits

As a PhD candidate at DTU, you will receive a competitive salary and access to state-of-the-art facilities and equipment. You will also have the opportunity to participate in international conferences and workshops, as well as collaborate with leading researchers and industry partners. In addition, you will have the chance to contribute to the development of TopFarm/TopDesign, the open-source wind farm optimization tool developed in DTU Wind.

Estimated salary: approximately 5,000 - 6,000 DKK per month (gross).



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