Postdoctoral Appointee – Battery Modeling, Electrochemistry, and AI
Core
Conduct research on meso- and macroscale mathematical modeling of next-generation batteries using artificial intelligence to accelerate scientific discovery.
Role type
Postdoctoral Researcher (Battery Modeling & AI)
Builds
Computational models for battery materials and processes
Domain
Energy Storage / Electrochemistry / Materials Science
Deliverable
production ML models
Required skills
electrochemistry, mass/momentum/energy balance modeling, AI tools and agentic workflows, numerical simulation, experimental design, data analysis
Preferred skills
atomistic simulation, density functional theory (DFT), ab initio molecular dynamics (AIMD)
Technologies
AI frameworks, numerical simulation tools
Responsibilities
Develop mesoscale and/or macroscale computational models for battery materials and processes, Implement models and perform numerical simulations, Analyze and interpret simulation and experimental data, Integrate AI tools and workflows to enhance modeling and accelerate learning, Collaborate with interdisciplinary experimental and theoretical research teams, Prepare manuscripts for submission to peer-reviewed journals
Seniority
Postdoctoral (0-5 years post-PhD)