
Research Scientist, Battery Materials Simulation
Posted 4 hours ago

Posted 4 hours ago
This is a fully remote position, open to applicants in United States.
• Execute advanced simulations utilizing DFT and MD for solid-state materials, concentrating on predicting characteristics for solid-state electrolytes and interfacial degradation reactions.
• Utilize data-driven methodologies to interpret extensive datasets generated from computational simulations and experiments to reveal novel insights into material behaviors.
• Implement high-fidelity data generation initiatives and create ML force fields for solid-state materials.
• Lead and define projects with specific deliverables in collaboration with agile teams.
• Work closely with multi-disciplinary teams to independently develop and scale innovative and impactful materials design solutions.
• Formulate and assess hypotheses to facilitate design decisions and steer project direction by creating and applying computational methods and workflows.
• Present and communicate research results effectively through scientific presentations, blog articles, client-focused presentations, and peer-reviewed journals.
• A Ph.D. in Materials Science, Chemical Engineering, Chemistry, Computer Science, or a related discipline is preferred.
• Over 3 years of practical experience in modeling intricate solid-state battery materials, including cathodes, anodes, solid-state electrolytes, and/or interfacial reactions under non-equilibrium conditions is strongly desired.
• Expertise in commonly used DFT and MD simulation software (e.g., VASP, Quantum ESPRESSO, LAMMPS, ASE).
• Proficient in developing or utilizing AI models for chemistry and material discovery with well-known deep learning frameworks on CPUs and GPUs.
• Demonstrated ability to benchmark and evaluate domain-specific AI models for materials discovery.
• Comprehensive health, dental, and vision insurance;
• 401(k) with company match;
• Generous parental leave;
• Flexible hybrid work arrangements;
• Generous PTO;
• A culture that values focus time and recovery;
• Direct involvement with CHIPS Act-funded programs;
• Mentorship opportunities;
• Dedicated learning budgets to foster continuous growth.
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