Alternance - Ingénieure / Ingénieur Machine Learning / Cfd

ArianeGroup

Vernon, France
Hybrid
Machine learning
Physics informed neural networks
Cfd
Explore and implement neural network methods to improve the analysis and design of combustion components

Job Summary

  • Explore and implement neural network methods to improve the analysis and design of combustion components.
  • Integrate physics-informed machine learning models and apply advanced CFD techniques for next-generation propulsion systems.
  • This internship offers a unique opportunity to contribute to cutting-edge aerospace projects in an international environment.

Matching Summary

Explore and implement neural network methods to improve the analysis and design of combustion components.

Skills & Requirements

Must-have

  • Machine Learning
  • Physics Informed Neural Networks
  • CFD
  • Python programming
  • English language proficiency

Nice-to-have

  • Curious and proactive attitude
  • Good interpersonal skills
  • Knowledge of German language

Key Requirements

  • BAC+5 diploma in Machine Learning, scientific computing, fluid mechanics, energy, or propulsion
  • Knowledge of Machine Learning
  • Knowledge of fluid mechanics
  • Knowledge of CFD
  • Knowledge of deep learning methods
  • Programming skills in Python
  • English language proficiency

Work Rights

Not specified

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