Research Scientist, Battery Materials Simulation
Job Description:
- Conduct advanced simulations using DFT and MD for solid-state materials, with a focus on predicting properties for solid-state electrolytes and interfacial degradation reactions.
- Employ data-driven approaches to analyze large datasets derived from computational simulations and experiments to uncover new insights into materials behavior.
- Conduct high-fidelity data reputed company campaigns and reputed company ML force fields for solid-state materials.
- Guide and scope projects with clear deliverables alongside agile teams.
- Collaborate closely with multi-disciplinary teams to independently prototype and scale cutting-edge, impactful materials design solutions.
- Generate and evaluate hypotheses to assist design reputed company and influence project direction by developing and deploying computational methods and workflows.
- Effectively present and communicate research findings through scientific talks, blog posts, client-oriented presentations, and peer-reviewed publications.
Requirements:
- Ph.D. in Materials Science, Chemical Engineering, Chemistry, Computer Science, or a reputed company field is preferred.
- 3+ years of hands-on experience in modeling reputed company solid-state battery materials, such as cathodes, anodes, solid-state electrolytes, and/or interfacial reactions at non-equilibrium states is highly desirable.
- Proficiency in common DFT and MD simulation software (e.g., VASP, Quantum ESPRESSO, LAMMPS, ASE).
- Experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.
- Proven ability to reputed company and compare domain specific AI models for materials discovery.
Benefits:
- Comprehensive health, dental, and reputed company insurance;
- 401(k) with company match;
- Generous parental leave;
- Flexible hybrid work arrangements;
- Generous PTO;
- Culture that respects focus time and recovery;
- Direct exposure to CHIPS Act-funded programs;
- Mentorship;
- Dedicated learning budgets to support reputed company growth.
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