Apply Now
Application opens on company website
Job Description
The role involves developing and applying advanced physics-based simulation techniques to model complex battery materials, generating high-quality datasets for AI-driven materials discovery, and collaborating across computational and experimental teams to accelerate battery technology innovation.
Key Responsibilities
- Develop and apply advanced physics-based simulation techniques, including Reactive Force Fields ReaxFF and MD DFT coupling, to model complex materials phenomena.
- Conduct multi-scale computational projects from atomistic to mesoscale modeling, utilizing tools like VASP, LAMMPS, GROMACS, and CP2K.
- Generate, validate, and analyze atomistic and mesoscale datasets for training machine learning potentials and AI-driven materials discovery workflows.
- Automate and optimize simulation workflows through coding in Python, C++, or FORTRAN to improve computational efficiency.
- Perform physics-based validation of simulation outputs to ensure accuracy and reliability for materials modeling.
Requirements
- Ph.D. in Computational Chemistry of Energy Materials, Materials Science, or Computational Physics.
- Deep, demonstrated expertise in advanced physics-based simulation, including proficiency with DFT, MD, and Quantum Mechanics (QM) simulation tools.
- Proven experience with Reactive Force Fields ReaxFF and methods for MD DFT coupling.
- Strong coding ability in languages such as Python, C, or FORTRAN, and deep practical experience with simulation codes like VASP, LAMMPS, GROMACS, or CP2K.
- Solid understanding of battery chemistry modeling and experience in generating and validating atomistic and mesoscale data.
- Ability to develop and apply advanced simulation techniques, specializing in Reactive Force Fields ReaxFF and MD DFT coupling, to model complex materials phenomena.
- Experience in conducting and analyzing multi-scale computation projects, covering atomistic simulation up to mesoscale modeling.
- Ability to utilize and maintain advanced simulation tools, including VASP, LAMMPS, GROMACS, and CP2K, for high-fidelity simulations.
- Perform rigorous physics-based validation on all simulation outputs to ensure accuracy and reliability.
- Generate and validate high-quality atomistic and mesoscale datasets used for training ML potential and other scientific AI models.
- Develop advanced simulation workflows and contribute to the creation of ML potentials and AI-driven materials discovery tools.
- Apply strong coding skills to automate complex simulation workflows and enhance computational efficiency.
- Maintain a solid understanding of battery chemistry modeling and collaborate effectively across computational and experimental teams.
Benefits & Perks
A highly competitive salary
Robust benefits package including comprehensive health coverage
Attractive equity stock options program
Opportunity to contribute to meaningful scientific projects with broad public impact
Work in a dynamic, collaborative, and innovative environment
Significant opportunities for professional growth and career development
Access to state-of-the-art facilities and proprietary technologies
Ready to Apply?
Join SES and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More at SES
More jobs at SES
Technical Product Manager
SES
Woburn
Full Time
Dec 25
Computational Chemist ReaxFF
SES
Woburn
Full Time
Dec 25
Senior Computational Materials Scientist
SES
Woburn
Full Time
Oct 31
$150k-250k
More jobs in Woburn, Massachusetts
Accounts Payable Coordinator - Temporary to Permanent
Unison
Woburn
TEMPORARY_TO_PERMANENT
Dec 16
Accounts Payable Coordinator - Temporary to Permanent
Unison
Woburn
TEMPORARY
Jan 1
Accounts Payable Coordinator - Temporary to Permanent
Unison
Woburn
TEMPORARY_TO_PERMANENT
Dec 25