Solid Power

MultiphysicsModelingScientist

$115–165k ~AI est. Louisville, Colorado, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Multiphysics Modeling Scientist at Solid Power. Skills: Multiphysics modeling, Electrochemical systems, Battery modeling, Python. Develop continuum-scale reactor models. Guide reactor conditions”

Industry & Context.

Problems you'll solve

Analytical problem-solving; Statistical problem-solving

Eligibility Requirements

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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