AI Researcher Wanted for Wind Energy Optimisation
2 days ago
Requirements and Qualifications
To be eligible for this PhD position, applicants must have a strong background in engineering or computer science, with a keen interest in scientific programming and machine learning. Experience with wind energy topics, data science/analytics, and machine learning methods is highly desirable.
The selected candidate will have the chance to evolve within academia at DTU Wind, located in Risø, near Roskilde, just 30 minutes from Copenhagen. They will benefit from advanced training in various European universities and industry, participate in scientific discussions within the rich context of the Marie Skłodowska-Curie Action Doctoral Network (MSCA DN) "Intelligent systems for autonomous Wind power plant operations" (IntelliWind).
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Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeAbout DTU WindDanmarks Tekniske Universitet (DTU) Wind is a leading research institution in wind energy and turbine technology. Our mission is to advance the development and implementation of sustainable energy solutions through innovative research and education.Job Description:We are seeking a PhD researcher to join our team and contribute to the...
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PhD Researcher in Wind Energy Optimization
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Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeWe are seeking a PhD researcher to join our team in the Department of Wind and Energy Systems at DTU. The successful candidate will work on the project 'AI-Augmented Design Optimization of Wind Farms' within the System Engineering and Optimization (SYS) section.The main responsibilities of this position include:Developing a framework/methodology to better...
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Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeDTU Wind invites applications for a PhD position to develop an advanced autonomous decision support system (DSS) tailored to enhance the operation and maintenance (O&M) practices of wind turbines. The project aims to create a versatile, modular DSS that integrates data acquisition, machine learning-based data analytics, and autonomous reasoning modules to...
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Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeWe are inviting applications for a PhD position focused on the topic of AI augmented design optimization of wind farms at DTU Wind. This project is part of the TWEED (Training Wind Energy Experts on Digitalisation) Doctoral Network, funded by EU through the Horizon Europe MSCA programme.The main objectives of this project include:To develop a...
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Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet (DTU) Full timeJob DescriptionThis PhD scholarship is part of the IntelliWind Doctoral Network, focusing on Reinforcement Learning techniques for Wind Farm Control Optimization. The successful candidate will have the opportunity to contribute to cutting-edge research in the field of wind energy and artificial intelligence.The primary tasks of the PhD student will include...
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