Solid Power
MultiphysicsModelingScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Multiphysics Modeling Scientist at Solid Power. Skills: Multiphysics modeling, Electrochemical systems, Battery modeling, Python. Develop continuum-scale reactor models. Guide reactor conditions”
Industry & Context.
Analytical problem-solving; Statistical problem-solving
Prolonged computer use, Physical data retrieval
What They're Looking For.
Must Have
Master’s or Ph. D., 2+ years professional experience, Experience working with COMSOL, Ability to formulate coupled multiphysics models
Nice to Have
Experience working in Ansys, Work with PyBaMM, General python knowledge, Previous experience building 1D PDE/ODE models, Familiarity with agentic code development concepts, Familiarity with limitations of LLMs
What You'll Do.
Develop continuum-scale reactor models
Guide reactor conditions
Guide experimental planning
Upgrade COMSOL implementations
Develop mathematical models
Predict thermal behavior
Predict mechanical behavior
Predict electrochemical behavior
Develop experimental plans
Isolate key model parameters
Quantify key model parameters
Produce minimal solvers
Refine modeling approaches
Validate modeling approaches
Employ best-practice workflows
Explain uncertainty in predictions
Write documentation on upgrades
Collaborate on solver acceleration
Collaborate on virtual experiment prioritization
Translate atomic-scale outputs
Translate coarse-grained outputs
How You'll Work.
Team & Collaboration
Subject matter experts; Data scientists; Atomic-scale modelers; Coarse-grained modelers
Communication Scope
Explain uncertainty; Write documentation
Full Job Description
Position Overview: Solid Power is seeking a Multiphysics Modeling Scientist to join our talented team working to revolutionize the battery industry through the development of next-generation, all solid-state rechargeable batteries. Solid Power is a dynamic, fast-paced, collaborative, and innovative team environment. The preferred candidate will have significant experience working with and using multiphysics simulations to model chemical systems, heat transfer dynamics, and electrochemical device behaviors. The candidate will be expected to guide synthetic approaches for dry, inorganic powders by modeling conditions in high-throughput powder reactors. They will also work to update existing thermal abuse models that integrate atomic-scale reaction kinetics with continuum-scale heat transfer dynamics. The candidate should be comfortable building P2D/P4D DFN models and using these approaches to guide experimental planning, especially as it relates to battery formulation improvements. Job Duties: Develop continuum-scale reactor models for dry inorganic powder synthesis, coupling heat transfer, gas flow, mass transport, and reaction kinetics to guide reactor conditions and experimental planning. Upgrade existing COMSOL-based implementations for thermal abuse modeling of ASSB cells. Develop and validate mathematical models (both fundamental physics-based and data driven) to predict thermal, mechanical, and electrochemical behavior of ASSB materials, sub-assemblies, and finished cells. Work with subject matter experts to develop experimental plans to isolate and quantify key model parameters, while producing minimal solvers that can be used by scientists/engineers. Collaborate with subject matter experts to refine and continually validate modeling approaches, while employing best-practice workflows (i.e., mesh sensitivity analysis, ablation testing, unit testing, parameter sensitivity quantification). Clearly explain to internal stakeholders the uncertainty in modeling pred
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