PhD CIFRE: Predictive Quality for Composite Digital Twins

Airbus; Nantes; Sur place; EUR 30 000 - 40 000; Plein temps

Résumé du poste

A leading aerospace company in Nantes seeks a PhD student specializing in predictive quality within composite materials. The role involves developing digital twins for manufacturing processes to predict part quality. Candidates should have a Master's degree and expertise in composite materials, simulation, AI techniques, and programming in Python. This position offers attractive financial rewards, a strong focus on personal development, and flexible working arrangements that stimulate innovation.

Prestations

Attractive salary agreements

Extra days-off

Complementary health insurance

Wellbeing services including gym

Qualifications

• Experience in composite materials manufacturing processes.
• Familiarity with ultrasonic non-destructive testing.
• Understanding of hybrid modeling techniques.

Responsabilités

• Identify parameters for monitoring composite part manufacturing.
• Simulate composite part manufacturing processes.
• Implement tests to confirm simulation accuracy.
• Enrich simulated data with real data.
• Communicate results at conferences and in publications.

Connaissances

Composite materials

Modeling and simulation of composite processes

AI techniques

Programming: Python

Formation

Master's degree (or equivalent)

Description du poste

A leading aerospace company in Nantes seeks a PhD student specializing in predictive quality within composite materials. The role involves developing digital twins for manufacturing processes to predict part quality. Candidates should have a Master's degree and expertise in composite materials, simulation, AI techniques, and programming in Python. This position offers attractive financial rewards, a strong focus on personal development, and flexible working arrangements that stimulate innovation.