STAGE 2027 - Ingénieur Data & Procédés Composites (ALL GENDER)
Core
Predictive modeling of cleanroom climate and analysis of composite polymerization cycles to optimize manufacturing processes and reduce non-conformities.
Role type
Intern data engineer (composite processes)
Builds
Predictive models for HVAC control and tools for polymerization cycle management
Domain
Aerospace manufacturing / Composite materials
Deliverable
production ML models
Required skills
Data science, Machine Learning, Statistical Process Control (SPC), Polymerization kinetics, Composite materials knowledge
Preferred skills
Supply Chain knowledge, Dashboard development
Technologies
Python, SQL, Statistical software, HVAC control systems
Responsibilities
Model cleanroom climate response to external conditions and HVAC settings; Analyze polymerization cycle data to identify drift factors; Develop tools for non-conformity management; Design decision-support dashboards for production teams.