Research Scientist, Battery Materials Simulation

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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.
reputed company 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 reputed company, 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:

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