XINXU GROUP
TunisiePublication : 21 janv. 2026
AI & Energy - AI Fault Diagnosis for Lithium Batteries
- Stage
- 4-6 mois
- Présentiel
- Échéance : 4 févr. 2026
- Xenomai
- Data Science & Machine Learning
- Lithium Batteries
- Fault Diagnosis
- Software Engineering (Python)
- Matlab
- PDF/image data processing
- Industrial Data
- Industrial Dashboards
- Anomaly detection
- Electrical Engineering (Power/Electricity)
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