Internship or Master Thesis Battery Analytics (all genders)
Core
Analyze large-scale battery operation datasets to find trends, anomalies, and predictive patterns for grid-scale energy storage systems.
Role type
Internship or Master Thesis Battery Analytics
Builds
Production-ready methods for battery performance, safety, and lifetime optimization
Domain
Clean energy / Electric vehicles / Grid storage systems
Deliverable
production ML models
Required skills
Python, Data exploration, Anomaly detection, Predictive modeling, AI tools usage, Technical degree (Electrical/Mechanical Engineering/Data Science)
Preferred skills
Lithium-ion battery knowledge, German language
Technologies
Python, Cloud-based infrastructure
Responsibilities
Dig into large battery operation datasets, Find trends and predictive patterns, Turn analysis into visuals for engineers/operators, Use AI tools in data exploration and coding, Work on real project pieces with clear deliverables
