Multiphysics Modeling Scientist at Solid Power

Louisville, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

140000.0

Posted On

06 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Multiphysics Modeling, COMSOL, Python, Electrochemistry, P2D/P4D DFN Models, Heat Transfer Dynamics, Chemical Systems Modeling, Pandas, NumPy, SciPy, Ansys, PyBaMM, PDE/ODE Modeling, Data Science, Statistical Problem-Solving, Reactor Modeling

Industry

Renewable Energy Semiconductor Manufacturing

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 predictions and write documentation on proposed upgrades that could be used to improve certainty. Collaborate with data scientists on strategies to accelerate multiphysics modeling solvers and on strategies to guide virtual experiment prioritization (e.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/Requirements: 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. 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. Previous experience building 1D PDE/ODE models from first principles and manually implementing them is a strong plus (e.g., 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. Excellent communication, negotiation, and organizational skills with strong attention to detail. Physical Requirements: Prolonged periods of time in front of a computer. Some physical data retrieval (i.e. from non-networked computers located within the Solid Power buildings). Salary Range: $105,000 - $140,000/Annually Benefits: Solid Power offers a comprehensive benefit package that includes medical/dental/vision insurance, employer paid Life/AD&D/STD/LTD insurance, 401k with company match, 8 paid holidays + the week between Christmas and New Years off, Unlimited PTO, up to six (6) weeks paid FMLA leave, cell phone reimbursement and eligibility to participate in our bonus and equity plans. Export Control Requirements: This position could require access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment in this position is conditioned on the continued availability of government authorization to authorize release of such items, to the extent required, including without limitation an export license, or other documentation required to establish authorization to receive access to such items. Company may delay commencement of employment, rescind an offer of employment, terminate employment, and/or may modify job responsibilities, compensation, benefits, and/or access to Company facilities and information systems, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. This position will be posted for a minimum of 7 days and will remain open until filled or adjusted based on the volume of applicants. All offers of employment at Solid Power are contingent upon clear results of a thorough background check. Please no soliciting from staffing agencies. Thank you! #LI-Hybrid #LI-RM1

Responsibilities

Develop and validate continuum-scale multiphysics models to predict the thermal, mechanical, and electrochemical behavior of all solid-state batteries. Collaborate with cross-functional teams to guide experimental planning for powder synthesis and thermal abuse modeling.