Alternance AI Research Engineer – Multiphysics E-Machine Simulation H/F
Core
Developing an autonomous AI agent to orchestrate multiphysics simulations for electric machine design, replacing simple surrogate models with physics-informed intelligence.
Role type
AI Research Engineer (Apprentice)
Builds
Autonomous AI agents for real-time optimization of electric propulsion systems
Domain
Automotive electrification / Multiphysics simulation / Machine Learning
Deliverable
production ML models
Required skills
Python (NumPy, Pandas, Scikit-learn), Deep Learning frameworks (PyTorch, TensorFlow), Physics-Informed Neural Networks (PINN), Graph Neural Networks (GNN), Partial Differential Equations (PDE), Optimization theory, Linear Algebra, Electromagnetism, Finite Element Analysis (FEA)
Preferred skills
Reinforcement Learning, Bayesian Optimization, Ansys Maxwell, JMAG, Altair Flux
Technologies
LangGraph, AutoGen
Responsibilities
Map simulation workflows and synthesize magnetic FEA data, Develop hybrid physics-informed and graph neural network models, Build autonomous AI agents to trigger simulations and interpret physical errors, Validate AI predictions against high-fidelity FEA solvers
Seniority
Junior, Apprentice (Master 2 level)