Intern- Fleet Performance Engineering en Gevernova

Job Description Summary

Job Description

Intern will:

• Convert FPM standard technical disposition and troubleshooting guides in Artificial Intelligence input format, develop automatic decision trees based on turbine faulting behaviors.

• Evaluate innovative technologies and analytics methodologies to detect electric generator defects with remote diagnostic information

Qualifications/Requirements

Fluent in English

University student

Good command of MS Office

Logical thinking

Desired Characteristics

Electrical engineering background of electric motors and power conversion components

Software Automation development / basic programming skills

Outcomes

Intern will gain

Experience on automating business processes

Knowledge on wind turbines technology

Basic knowledge of wind turbine failure modes and their corrective actions

Additional Information