Responsible for supporting design teams, develop NDT reliability studies, additive manufacturing material process development/validation and design/publish sampling level plans that support launch vehicle programs. You will share in the team’s impact on all aspects of assuring part integrity, quality and life span.
- Design, document, and analyze probability of detection (POD) experiments to determine defect detection limits for non-destructive testing applying the guidance of MIL-HBK-1823, ASTM E E2862, ASTM E3023
- Design, analyze and draw conclusions from in-situ monitoring systems data output for additive manufacturing.
- Design and deploy sound statistical process control systems for additive manufacturing
- Analyze and document authoritative methods for design values derivation for static and dynamic material characteristics.
- Design and publish sampling level plans and key characteristics methods for inspection.
- PhD degree in mathematics or scientific field of study with 4 or more years of related work experience in an applied mathematics position
- Must have a strong mathematical background in statistics, analytical languages, techniques, and tools
- Must be a U.S. citizen or national, U.S. permanent resident
- Knowledge of industrial statistics in aerospace including Probability of Detection, Design of Experiments, Tolerance Intervals and Allowables, Gage R&R and metrology, Sampling Plans, Small Sample Statistics, and Statistical Process Control
- Strong background in scientific computing in scripting languages: Python, R Programming, RStudio, R-Shiny, C++, etc.
- Experience with handling and definition of technical and scientific data formats, processing, and visualization
- Knowledge and application of image processing technologies and computer vision
- Algorithm development, tuning, and production implementation
- Excellent communication skills with a track record of successful collaboration with both technical and non-technical project stakeholders
Job Status: Full Time