Doktorand i Materialberäkningskemi
Core
Conduct theoretical studies on ion transport in solid-state battery materials using multiscale modeling and machine learning to optimize electrolyte materials.
Role type
PhD researcher (theoretical computational chemistry)
Builds
Production ML models | research
Domain
Energy storage / Battery technology / Computational chemistry
Deliverable
research
Required skills
Multiscale modeling, Machine learning, Data analysis, Computational chemistry methods
Preferred skills
Physics, Materials science, Data management, Programming
Responsibilities
Conduct independent research studies, Participate in research projects, Teach and perform other duties (max 20%), Travel for short and long periods
Seniority
PhD candidate (early career researcher)
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