Candidates should have a degree in engineering, experience in reliability engineering, and programming skills in Python, R, or MATLAB. • Collaborate with cross-functional teams including data scientists, software developers, and domain experts to develop and refine algorithms for predictive maintenance and asset optimization. • Stay up to date with the latest advancements in wind turbine technology, reliability engineering, and predictive maintenance techniques. Ultimately, we expect deep industry knowledge as well as technical and excellent industry-related engineering expertise. • Master's or bachelor's degree in mechanical engineering, Electrical Engineering, Reliability Engineering, or a related field. • Proven experience in reliability engineering, predictive maintenance, or asset performance optimization, preferably in the renewable energy sector or wind energy domain.
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