XINXU GROUP
Tunisie
AI & Energy - AI Fault Diagnosis for Lithium Batteries
XenomaiData Science & Machine LearningLithium BatteriesFault DiagnosisSoftware Engineering (Python)MatlabPDF/image data processingIndustrial DataIndustrial DashboardsAnomaly detectionElectrical Engineering (Power/Electricity)
Publié il y a environ 1 mois
Stage
⏱️4-6 mois
💼Présentiel
📅Expiré il y a 18 jours
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Description du poste
Develop an AI system to detect lithium-battery defects (overvoltage, overheating, aging, short-circuits) with real-time dashboards and alerts.
Responsibilities:
- Data acquisition, preprocessing, and labeling from battery tests
- Design and train ML models for anomaly/fault detection
- Implement real-time monitoring dashboard and alerting
- Track and visualize historical defects and trends
Required skills:
- Python/MATLAB, ML, data processing, and electrical engineering basics
Deliverables:
- Curated datasets, trained models, evaluation reports, dashboards, and deployment guide
📧 Pour postuler: project.management@zbxinxu.com