Engine Diagnostics

Specific Position Duties

• Support development of advanced engine performance condition trend monitoring algorithms.
• Analyze steady state and transient engine trend data in support of engineering studies.
• Support QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystems.
• Perform performance deterioration studies of engines operating in service.
• Develop and implement scripts, algorithms, machine learning, data clustering and fault classification techniques within a relational database structure to manage, aggregate, and search data in support of advanced diagnostics and prognostics.

Qualifications for Position

• Bachelor's degree in Mechanical or Aerospace Engineering. Masters’ Degree is considered an asset.
• 6s Statistical Process Control
• Strong computer programming skills using the languages Python, R, C++, and/or C# (SSIS).
• Familiar with data visualization techniques using (i.e., Matplotlib, HighCharts and/or PowerBI).
• Proficient in MS SQL, MySQL and/or PostgreSQL
• Proficient in MS Office, especially in Excel
• Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.) is an asset.
• Experience supporting turbomachinery testing, data collection, or data reduction is preferred.
• Knowledge of DataBricks is beneficial.
• Knowledge of AWS and related services.
• Good oral and written communication skills are essential.