Hiring: Research Scientist, Battery Materials Simulation Company: SandboxAQ Location: United States Job Posted Time: 2026-09-03 10:54:55 Employment Type: Hybrid Target Skills & Keywords : Agile, Deep Learning, Epic Systems, Fine-tuning, R About the job Experience: •Ph.D. in Materials Science, Chemical Engineering, Chemistry, Computer Science, or a related field is preferred. •3+ years of hands-on experience in modeling complex 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). •Proven ability to benchmark and compare domain specific AI models for materials discovery. Required Skills: •See how SandboxAQ is helping build America's semiconductor supply chain from the materials up. •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 generation campaigns and develop 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 decisions 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. Qualifications: •Contributions to open-source projects related to MLIPs. •Authorship of publications in high impact peer-reviewed journals or conferences. •Demonstrated ability in project leadership within an industrial setting, including managing teams, timelines, and deliverables. Compensation: •$112,000 - $210,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!