Job Description Summary

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 Bachelors or Masters 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