**Job Description Summary** =========================== Join GE Vernova's Wind Turbine Operability team and contribute to the advancement of sustainable energy solutions through cutting\-edge control systems engineering. As an Operability Engineering Intern, you will work alongside experienced engineers to optimize wind turbine performance, reliability, and efficiency through innovative control strategies and data analytics.**Job Description** =================== **Main Responsibilities (may vary by project) \-** Depending on project needs, you may be responsible for a subset of the following: * Analyze and optimize closed\-loop control systems, including evaluation of Extended Kalman Filter (EKF) implementations * Investigate sensor fault detection mechanisms and develop robust field detection algorithms * Explore predictive and preventive maintenance strategies leveraging real\-time fleet data analytics * Research and evaluate data collection methodologies for large\-scale field validation studies **Other responsibilities:** * Collaborate with cross\-functional teams including mechanical, electrical, and aerodynamics engineers * Contribute to technical documentation and present findings to engineering teams **Required Qualifications:** * Currently pursuing Bachelor's or Master's degree in Controls, Electrical, Mechanical Engineering, or related field * Knowledgeable in control systems theory and closed\-loop control principles * Programming proficiency in at least one language (MATLAB, Python, SQL or similar) * Strong analytical and problem\-solving abilities * Proficient written and verbal communication skills in English with ability to explain complex technical concepts clearly * Collaborative mindset and eagerness to learn from diverse engineering disciplines **Desired Characteristics:** * Basic knowledge of signal processing and filtering techniques * Familiarity with Extended Kalman Filters, state estimation, or observer design * Knowledge f data analysis techniques and statistical methods * Experience with machine learning or predictive analytics **Output** Upon completion of this internship, the intern will have gained: **Some of the following Technical Knowledge \& Skills:** * Understanding of wind turbine control systems and operability challenges * Hands\-on experience with advanced control algorithms including EKF implementation * Experience in sensor fault detection and diagnostic techniques * Knowledge of predictive maintenance strategies and data\-driven decision making * Experience with large\-scale data analysis and field validation methodologies * Enhanced programming skills in industry\-standard tools and languages * Understanding of multidisciplinary engineering integration in complex systems **Professional \& Soft Skills:** * Advanced problem\-solving capabilities for complex engineering challenges * Improved technical communication and presentation skills * Experience working in cross\-functional engineering teams * Project management and time management skills * Critical thinking and analytical reasoning abilities * Understanding of industrial engineering practices and standards * Network of professional connections within the renewable energy industry **Additional Information** ========================== **Relocation Assistance Provided:** No