AI-Driven Battery Materials Scientist
Solid Energy Systems
14 days+
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Benefits offered by this job
Job summary
A leading energy technology firm in Woburn, Massachusetts, seeks a Computational Materials Scientist to enhance battery technology through physics-based simulations and AI-assisted predictions. The role involves conducting simulations, generating structured data, and collaborating with experimental teams. Required qualifications include a Ph.D. in a relevant field, deep experience in atomistic simulation, and strong skills in Python programming. This position offers competitive salary and comprehensive benefits in an innovative environment.
Qualifications
- Deep experience in atomistic simulation and quantum modeling required.
- Proficiency with QM/DFT tools like VASP and Quantum Espresso essential.
- Strong coding skills in Python for workflow automation and analysis.
Responsibilities
- Conduct DFT, MD, and QM simulations of battery components.
- Generate high-quality simulation data for AI models.
- Collaborate with teams to validate models and drive design iterations.
Skills
Atomistic Simulation
Density Functional Theory (DFT)
Machine Learning Application
Python Programming
Quantum Mechanics (QM)
Education
Ph.D. in Mechanical Engineering or related field
Tools
VASP
Quantum Espresso
TensorFlow
Pandas
Job description
A leading energy technology firm in Woburn, Massachusetts, seeks a Computational Materials Scientist to enhance battery technology through physics-based simulations and AI-assisted predictions. The role involves conducting simulations, generating structured data, and collaborating with experimental teams. Required qualifications include a Ph.D. in a relevant field, deep experience in atomistic simulation, and strong skills in Python programming. This position offers competitive salary and comprehensive benefits in an innovative environment.
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