Stage ingénieur : Intelligence Artificielle appliquée à la Compatibilité Électromagnétique (CEM) dans le cadre du projet CEMASURF (H/F)
Core
Developing AI/ML-driven data analysis techniques to automate EMC testing and improve validation efficiency for integrated circuits and electronic systems.
Role type
Intern, Applied AI 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 | dashboards & analysis
Required skills
Python (NumPy, Pandas, Scikit-learn, Matplotlib), Machine Learning, Data Analysis, Statistics, Electronics, Embedded Systems
Preferred skills
Electromagnetic Compatibility (EMC) knowledge
Technologies
Python, NumPy, Pandas, Scikit-learn, Matplotlib
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 measurements, developing indicators to identify EMC risks, automating test reports, presenting results to stakeholders.
Seniority
Intern