Stage ingénieur : Intelligence Artificielle appliquée à la Compatibilité Électromagnétique (CEM) dans le cadre du projet CEMASURF (H/F)
Core
Developing AI/ML-based data analysis techniques to automate EMC testing and improve validation efficiency for integrated circuits and electronic systems.
Role type
Intern, applied AI/ML engineer (EMC)
Builds
Automated data processing tools, anomaly detection models, and validation indicators for EMC test campaigns
Domain
Automotive/Industrial electronics + Electromagnetic Compatibility (EMC)
Deliverable
production ML models
Required skills
Python (NumPy, Pandas, Scikit-learn, Matplotlib), Machine Learning, Data analysis and statistics, Electronics or Embedded Systems
Preferred skills
Electromagnetic Compatibility (EMC)
Responsibilities
Collecting and analyzing data from automated EMC test campaigns, Developing data processing and visualization tools, Evaluating ML approaches for classification and anomaly detection, Investigating correlations between simulations and EMC measurements, Developing indicators to identify EMC risks, Presenting progress to project stakeholders