You will lead projects leveraging advanced AI and hybrid digital twins to deliver high-credibility engineering simulations that enhance aerospace safety, reliability, and lifecycle management
Job Summary
You will lead projects leveraging advanced AI and hybrid digital twins to deliver high-credibility engineering simulations that enhance aerospace safety, reliability, and lifecycle management.
The role offers exposure to a multidisciplinary global team and the opportunity to become a subject matter expert in virtual engineering methods across various Collins Aerospace products.
You will bridge exploratory research and industrial application by maturing transformative technologies and launching simulation-based solutions within three months.
Matching Summary
You will lead projects leveraging advanced AI and hybrid digital twins to deliver high-credibility engineering simulations that enhance aerospace safety, reliability, and lifecycle management.
Skills & Requirements
Must-have
AI-driven engineering simulation
Hybrid digital twins
Scenario-based analysis
Uncertainty quantification methods
Deep learning applied to simulation
Simulation credibility verification
Model-Based Systems Engineering
Nice-to-have
Multidisciplinary team collaboration
Exposure to Clean Aviation research
Strategic research roadmap contribution
Virtual certification support
Advanced statistical computing
Object-oriented programming skills
Innovation-driven engineering culture
Key Requirements
Bachelor’s degree with 8+ years experience or advanced degree with 5+ years
Experience in modeling and simulation of complex cyber-physical systems
Expertise in statistical simulation methods including Monte Carlo
Proficiency in software development and object-oriented programming
Experience with simulation-based verification and scenario-based analysis