PhD Scholarship in Wind Farm Control Optimization
1 month ago
We are seeking a highly motivated and talented PhD student to join our team at DTU Wind in the field of wind farm control optimization. The successful candidate will have the opportunity to work on a cutting-edge project that focuses on developing and testing new AI-driven algorithms for wind farm control, with a strong emphasis on accuracy, reliability, and robustness.
About the ProjectThe project will involve developing and testing new AI-driven algorithms for wind farm control, with a focus on optimizing wind farm performance and reducing the risk of turbine failures. The successful candidate will work closely with our team of researchers and engineers to design, implement, and test the algorithms, and will have the opportunity to collaborate with industry partners and other academic institutions.
About the TeamOur team at DTU Wind is a dynamic and collaborative group of researchers and engineers who are passionate about advancing the field of wind energy. We are committed to providing a supportive and inclusive environment for our PhD students, and offer a range of opportunities for professional development and networking.
Requirements- Master's degree in engineering, computer science, or a related field
- Strong programming skills in Python and experience with machine learning methods
- Experience with wind energy topics and a strong understanding of wind farm control systems
- Excellent communication and teamwork skills
We offer a competitive salary and benefits package, as well as the opportunity to work on a cutting-edge project that has the potential to make a significant impact in the field of wind energy. Our team is committed to providing a supportive and inclusive environment for our PhD students, and we offer a range of opportunities for professional development and networking.
How to ApplyTo apply, please submit your application, including your CV, cover letter, and transcripts, to the link provided. We look forward to hearing from you
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