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PhD CIFRE: Predictive Quality for Composite Manufacturing
Job summary
A leading aerospace company is seeking a PhD student specializing in predictive quality to join the Composite New Technologies team in Nantes, France. The role involves developing digital twins of manufacturing processes for composite materials and predicting final part quality. Ideal candidates should possess a Master's degree and have strong expertise in composites, modeling, AI techniques, and Python programming. This position offers a supportive environment with numerous upskilling opportunities.
Benefits
Qualifications
- Strong technical expertise in composite materials and processes.
- Proficiency in modeling and simulation techniques.
- Experience with AI techniques and programming in Python.
Responsibilities
- Identify parameters of composite manufacturing processes.
- Simulate composite part manufacturing and validate with testing.
- Communicate results through publications and conferences.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.