[R2504]デジタルツールを活用した電池設計研究（一般層 総括職）
Core
Developing digital models and simulations to optimize battery design, performance prediction, and lifecycle management for electric vehicles.
Role type
Senior IC machine-learning engineer (battery systems)
Builds
Production ML models and theoretical models for battery durability, safety, and rate characteristics
Domain
Automotive / Battery Technology / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, Python programming, Java programming, C++ programming, R programming, Statistical analysis, Experimental validation
Preferred skills
Lithium-ion battery knowledge, Solid-state battery knowledge, Electrochemical modeling, Materials science background, Physics background, Technical writing
Technologies
Python, Java, C++, R, Machine Learning frameworks, Electrochemical models
Responsibilities
Develop theoretical and data-driven ML models for battery durability prediction (e.g., 10-year lifespan), create models for safety and rate characteristics, model cell structure and mechanical property changes during charge/discharge, update and validate models for future battery types
Seniority
Senior, hands-on IC