
Prognostics & Health Management (PHM) Engineer - LiftSystem
- Indianapolis, IN
- $90,985-136,477 per year
- Permanent
- Full-time
- Developing algorithms and techniques to detect and predict imminent system level failures such as performance and control, pneumatic, vibration, oil and fuel systems, and component lifing
- Working with LiftSystem Informatics to ensure Data availability/quality metrics are adequate for lifing calculations. Includes integrating data between ADVISe/Maximo and addressing data issues with partner OEM, and maintaining database.
- Performing system level analysis to understand the behavior of the LiftSystem in-service to provide support for engineering investigations including Red Top Investigations and Safety Alert Reports
- Providing customer interface for in-service and system PHM related issues, including giving technical presentations and publishing reports documenting engineering analysis.
- Supporting LiftSystem component, module and flight testing to assist in the maturation of PHM algorithms
- Collaborating with other LiftSystem teams and the EHM engineering capability to use and share best practices, to develop good knowledge management practices (processes, tools and methods)
- Bachelor's Degree in Computer Science or Engineering and 2+ years of experience in PHM/EHM system design, data analysis, data engineering, software development, OR
- Master's Degree in Computer Science or Engineering
- Must be U.S. Citizen to be considered for this opportunity
- Degree in Aerospace, Mechanical, or Electrical Engineering, or Computer Science
- Extensive experience with data analysis using JMP, MATLAB/Simulink, or Python and Git, and experience with SQL and database systems
- Experience in system engineering processes, performance and control, vibration, oil system, or aircraft mission analysis, and experience with EHM/PHM methods or computational modelling
- Experience presenting to internal and external audiences on critical topics, especially to US DoD customers
- Demonstrated the ability to work autonomously across a broader ambiguous / complex area and independently leads projects to deliver solutions.