Postdoktor inom AI-driven modellering av högentropielektrolyter
Core
Develop and apply modern AI and machine learning methods to explore, understand, and optimize high-entropy electrolytes for lithium and sodium batteries at the molecular level.
Role type
Postdoctoral researcher (computational chemistry & AI for materials)
Builds
Fundamental research insights into electrolyte structure, dynamics, and performance
Domain
Battery technology / Computational chemistry / Artificial Intelligence
Deliverable
production ML models
Required skills
Molecular-level modeling, Artificial intelligence, Machine learning, Computational chemistry, DFT calculations, COSMO-RS software
Preferred skills
Electrolyte research, Modern battery research, AI/ML in battery applications
Responsibilities
Conduct independent research on high-entropy electrolytes, perform molecular dynamics simulations, develop and utilize AI/ML methods for material optimization, supervise and collaborate with PhD students and thesis students (up to 20% teaching)
Seniority
Postdoctoral researcher