Multiphysics Modeling Scientist
$105,000–$140,000 year
Hybrid · Louisville, Colorado, United States
Job Summary
Develop and validate continuum-scale multiphysics models for dry inorganic powder synthesis and ASSB cells, upgrading thermal-abuse modeling in COMSOL, and guiding experimental planning through physics- and data-driven modeling. Collaborate with subject-matter experts and data scientists to accelerate solver development, translate outputs across scales, quantify uncertainty in predictions, and document upgrades for improved certainty. Requires advanced degree in a relevant electrochemical discipline, 2+ years in multiphysics modeling of batteries, and proficiency with Python; COMSOL experience is required. Hybrid work arrangement in Louisville, CO, with a focus on battery formulation improvements and experimental planning.
Required Qualifications
- Master’s or Ph.D. in Computational Chemistry, Materials Engineering, Chemical Engineering or a related Electrochemical discipline
- 2+ years of professional experience using commercial software to develop multiphysics models of lithium-ion batteries
- Deep understanding of electrochemistry, preferably with some experience in battery systems
- Proficiency with Python and common data science libraries such as Pandas, NumPy, and SciPy
- Experience with COMSOL is necessary; experience with Ansys, PyBaMM, and general Python knowledge is a plus
- Experience building 1D PDE/ODE models from first principles and implementing them
- Ability to formulate coupled multiphysics models from first principles (governing equations, constitutive relationships, boundary/initial conditions)
- Familiarity with agentic code development concepts and limitations of LLMs is a plus
- Strong communication, negotiation, and organizational skills
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