Post Doctoral Scholar, Physics
Core
Conducting cutting-edge research in materials for energy applications, focusing on electrocatalysis and battery technologies.
Role type
Postdoctoral Scholar in Computational Materials Science
Builds
Research findings for energy technologies
Domain
Physics / Materials Science / Energy
Deliverable
research
Required skills
computational modeling of solid-solid, liquid-solid, and gas-solid interfaces, first principles methods, classical force fields, machine-learning-force fields, DFT, GC-DFT, MD (AIMD), PyTorch
Preferred skills
heterogeneous catalysis, electrocatalysis, battery technologies, molecular dynamics simulations, machine learning interatomic potentials
Technologies
PyTorch, DFT, GC-DFT, MD, AIMD
Responsibilities
Performing computational modeling using DFT, GC-DFT, MD (AIMD, classical force fields, MLIP force fields); Developing machine learning models for liquid-solid, solid-solid, and gas-solid interfaces; Analyzing and disseminating research results through peer-reviewed publications and conference presentations; Managing collaborations with other research teams; Mentoring graduate and undergraduate students; Contributing to grant proposal development and preparation
Seniority
Postdoctoral Associate