Seeking a highly skilled Senior Research Scientist, Battery Materials Simulation to join a remote, full-time team focused on developing computational workflows and AI-driven approaches for next-generation battery materials, utilizing advanced simulation techniques such as DFT, MD, and machine learning.
Key Responsibilities
• Conduct advanced simulations for battery materials and electrochemical systems using DFT, MD, and ML-based approaches
• Model surface reactions and interfacial degradation mechanisms while developing computational workflows for materials optimization
• Provide technical leadership, mentor junior scientists, and collaborate with cross-functional teams on strategic research programs
Required Qualifications
• Ph.D. in Materials Science, Chemical Engineering, Chemistry, Physics, Computer Science, or a related field
• 5+ years of industry experience in computational battery materials research beyond the Ph.D
• Proficiency in DFT and atomistic simulation tools (e.g., VASP, Quantum ESPRESSO, CP2K)
• Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
• Experience modeling surfaces, interfaces, and electrochemical systems