CS27 - Stage - BAC+5 - Data Analyst IA/CFD (H/F)
Core
Analyze existing AI model performance, generate new vehicle designs via geometric morphing, and train deep learning models to predict aerodynamic performance for automotive engineering.
Role type
Intern data analyst (IA/CFD)
Builds
Enriched datasets for AI training and aerodynamic prediction models
Domain
Automotive engineering + Computational Fluid Dynamics (CFD) + Machine Learning
Deliverable
production ML models
Required skills
Python programming, data analysis, machine learning, numerical simulation
Preferred skills
CFD tools, Blender, ANSA
Technologies
Python, Deep Learning, Graph Neural Networks, PCA, PLS, Blender, ANSA
Responsibilities
Analyze existing AI model performance to identify best strategies; Define visualization methods for database representativeness; Generate new vehicle designs via geometric morphing; Integrate 2D to 3D transformation processes; Study and propose new geometry generation methods; Perform and supervise necessary CFD calculations; Prepare, launch, and track training of AI models for aerodynamic prediction; Structure datasets and define train/test splitting strategies.
Seniority
Intern (6 months)