Engineering Intern-Wind Turbine Controls

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