​Multiphysics Modeling Scientist​

Position Overview: Solid Power is seeking a Multiphysics Modeling Scientist to join our t alented 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 hav e significant experience working with and using m ultiphysics simulations to model chemical systems, heat transfer dynamics , and electrochemical device behavior s .

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 t hermal abuse models that integrate atomic-scale reaction kinetic s with continuum - scale heat transfer dynamics . The candidate should be comfortable building P2D / P4D DFN models and using the se 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. , mesh sensitivity analysis, ablation testing, unit testing, parameter sensitivity quantification). Clearly explain to internal stakeholders the uncertainty in modeling predictions and write documentation on proposed upgrades that could be used to improve certainty.

g. Bayesian approaches). Collaborate with atomic-scale and coarse-grained modeling team members to translate their outputs into continuum-scale model inputs, assumptions, parameters, and validation targets.

Qualifications

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Requirements

D. in Computational Chemistry , Materials Engineering , Chemical Engineering or a related Electrochemical discipline. 2+ years of professional experience using commercial software to develop m u l tiphysics models of lithium-ion batteries.

A deep understanding of electrochemistry, preferably with at least some experience in battery systems. Proficiency with Python and common data science libraries such as Pandas, NumPy, and SciPy . Strong analytical and statistical problem-solving skills, having specific experience with configuring solvers for regression and parametrization tasks.

Experience working with COMSOL is necessary. Experience working in Ansys, work with PyBaMM, and general python knowledge are all a strong plus. , Numpy implementation for Gummel iteration, Newton iteration, segregated solver).

The ability to formulate coupled multiphysics models from first principles, including governing equations, assumptions, constitutive relationships, source terms, and boundary/initial conditions, prior to software implementation is a must. Familiarity with agentic code development concepts and the limitations of LLMs is a plus The candidate should be someone who stays up to date on the latest continuum-scale modeling approaches. Rapid learner and a self-motivated individual who takes ownership in a collaborative start-up environment.