Senior Battery Materials Simulation Scientist (Remote)

SandboxAQ

United States

On-site

USD 100,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Flexible hybrid work arrangements
Comprehensive health insurance
401(k) with company match

Job summary

SandboxAQ is seeking a Senior Research Scientist in Battery Materials Simulation to lead computational workflows that accelerate the design of next-generation battery materials. The ideal candidate will possess deep expertise in simulation techniques, including Density Functional Theory (DFT) and Machine Learning (ML).

This role emphasizes collaboration across teams to optimize battery materials for high-impact applications. Candidates with strong programming skills along with a background in materials science will thrive in this dynamic environment.

Join us to make a significant impact in the field of battery technology while enjoying a supportive work culture.

Qualifications

  • 5+ years of industry experience in computational battery materials research beyond the Ph.D.
  • Strong theoretical foundation in thermodynamics and kinetics.
  • Experience with cloud and high-performance computing environments.

Responsibilities

  • Conduct advanced simulations using DFT, MD, and ML-based approaches for battery materials.
  • Develop computational workflows for high-throughput materials screening.
  • Guide project scoping and execution while collaborating with cross-functional teams.

Skills

Density Functional Theory (DFT)
Molecular Dynamics (MD)
Machine Learning (ML)
Python programming
Electrochemistry

Education

Ph.D. in Materials Science, Chemical Engineering, or related field

Tools

VASP
Quantum ESPRESSO
PyTorch
TensorFlow

Job description

SandboxAQ is seeking a Senior Research Scientist in Battery Materials Simulation to lead computational workflows that accelerate the design of next-generation battery materials. The ideal candidate will possess deep expertise in simulation techniques, including Density Functional Theory (DFT) and Machine Learning (ML).

This role emphasizes collaboration across teams to optimize battery materials for high-impact applications. Candidates with strong programming skills along with a background in materials science will thrive in this dynamic environment.

Join us to make a significant impact in the field of battery technology while enjoying a supportive work culture.

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