[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
Develop and validate digital models (theoretical or data-driven ML) to predict battery performance, durability, safety, and manufacturing processes for EVs.
Role type
Senior IC machine-learning engineer (battery design)
Builds
Production ML models and simulation tools for battery performance prediction
Domain
Automotive + Electrochemistry + Machine Learning
Deliverable
production ML models
Required skills
Machine learning/AI model development, Python, Java, C++, R, Data analysis, Statistical analysis
Preferred skills
Lithium-ion/solid-state battery knowledge, Battery prototyping/testing, Electrochemical modeling (e.g., Newman model), Chemical/Materials/Physics background, Technical writing
Technologies
Python, Java, C++, R, Machine Learning frameworks
Responsibilities
Develop models for Li-ion durability (e.g., 10-year/240k km lifespan prediction), model safety/rate characteristics/manufacturing processes, model cell structure/mechanical property changes during cycling/degradation, update and validate models for future battery types (solid-state, post-Li-ion)
Seniority
Senior, hands-on IC