Postdoktor inom Materialberäkningskemi
Core
Develop and apply efficient multiscale models (statistical thermodynamics, molecular dynamics, kinetic Monte Carlo) to understand ion transport mechanisms in ceramic-polymer composite electrolytes for solid-state batteries.
Role type
Postdoctoral researcher (computational chemistry/materials science)
Builds
Computational models and guidelines for material development
Domain
Materials science / Battery technology / Computational chemistry
Deliverable
production ML models
Required skills
Statistical thermodynamics, Molecular dynamics, Kinetic Monte Carlo, Multiscale modeling, Atomistic simulations, Python programming, Machine learning
Preferred skills
Material modeling, Transport mechanisms, Interfacial studies
Responsibilities
Develop and validate computational models using atomistic simulations and experimental data, Collaborate with experimental researchers, Supervise PhD students and master's students, Conduct research visits at Grenoble INP
Seniority
Postdoctoral researcher