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Battery Modeling Engineer Jobs in Chicago, IL (NOW HIRING)

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Collaborate with battery scientists and domain experts to incorporate physical constraints or ... Demonstrated expertise in model development, optimization, and algorithmic innovation * Proficiency ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Gotion is powered by a leading power battery technology company that provides solutions for ... This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ...

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All JobsBattery Modeling Engineer JobsBattery Modeling Engineer Jobs in Chicago, IL

Battery Modeling Engineer information

See Chicago, IL salary details

$73.1K

$118.9K

$172.5K

How much do battery modeling engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for battery modeling engineer in Chicago, IL is $118,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $133,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Battery Modeling Engineer, and why are they important?

To thrive as a Battery Modeling Engineer, you need a strong background in electrochemistry, physics, and advanced mathematics, typically supported by a degree in engineering or a related field. Proficiency in simulation tools such as COMSOL Multiphysics, MATLAB, and Python, along with familiarity with battery management systems, is essential. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and solve complex battery performance challenges. These skills are crucial for designing accurate models that drive innovation and efficiency in battery technology.

What is the difference between Battery Modeling Engineer vs Battery Test Engineer?

AspectBattery Modeling EngineerBattery Test Engineer
CredentialsDegree in Electrical, Mechanical, or Chemical Engineering; knowledge of modeling softwareDegree in Electrical, Mechanical, or Chemical Engineering; experience with testing equipment
Work EnvironmentDesign labs, simulation environments, R&D departmentsTesting labs, quality assurance, product validation
Industry UsageBattery development, simulation, and optimizationProduct testing, validation, and quality control
Search/Comparison IntentFocus on modeling and simulation skillsFocus on testing procedures and validation processes

The main difference between a Battery Modeling Engineer and a Battery Test Engineer lies in their focus areas. The Battery Modeling Engineer specializes in creating simulations and models to predict battery performance, while the Battery Test Engineer conducts physical tests to validate battery quality and safety. Both roles are essential in battery development but serve different stages of the product lifecycle.

What are Battery Modeling Engineers?

Battery Modeling Engineers are professionals who design, develop, and optimize mathematical models that simulate the behavior and performance of batteries. They use these models to predict battery life, efficiency, safety, and performance under various conditions, helping to improve battery technology for applications like electric vehicles, consumer electronics, and renewable energy storage. Their work often involves collaborating with chemists, electrical engineers, and software developers to create accurate simulations and guide the development of new battery technologies.

How does a Battery Modeling Engineer typically collaborate with cross-functional teams in the development process?

Battery Modeling Engineers frequently work alongside electrochemists, hardware engineers, and data scientists to develop and refine battery systems. They translate experimental data and design requirements into simulation models, ensuring alignment between theoretical predictions and real-world performance. Effective communication and regular meetings are essential, as Battery Modeling Engineers often provide critical insights that inform design decisions, troubleshooting, and optimization of battery performance. This collaborative environment fosters innovation and helps accelerate product development cycles.
What are popular job titles related to Battery Modeling Engineer jobs in Chicago, IL? For Battery Modeling Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Battery Modeling Engineer jobs in Chicago, IL look for? The top searched job categories for Battery Modeling Engineer jobs in Chicago, IL are:
Battery Modeling Engineer jobs near you
Infographic showing various Battery Modeling Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,897 per year, or $57.2 per hour.
Postdoctoral Appointee - Battery Modeling, Electrochemistry, and AI

Postdoctoral Appointee - Battery Modeling, Electrochemistry, and AI

Argonne National Laboratory

Lemont, IL

$72K - $121K/yr

Full-time

Posted 2 days ago

Job description

We invite applications for aPostdoctoral Appointeeposition in theChemical Sciences and Engineering Division (CSE)at Argonne National Laboratory.

Working under the guidance of a supervisor, the successful candidate will conduct research focused onmeso- and macroscale mathematical modeling of next-generation batteries, while leveraging advancedartificial intelligence (AI) toolsto accelerate scientific discovery. Research areas includesolid-state batteries with lithium and sodium metal anodes, as well as themorphology evolution of materialscoupled with electrochemical and mechanical phenomena.

The selected candidate will developcomputational models at the mesoscale and/or macroscalebased on the principles ofmass, momentum, and energy conservationto describe processes such asmorphological change, dendrite growth, side reactions, delamination, and related behavior in hard and soft materials. A strong emphasis will be placed on theintegration of AI methods and agentic workflowsinto model development and scientific analysis.

This position offers the opportunity to collaborate closely withexperimental teamsworking in areas such aselectrochemical characterization and synchrotron analysis, as well as withtheoretical researchersspecializing inatomistic simulation, density functional theory (DFT), and ab initio molecular dynamics (AIMD). The successful candidate will also engage with collaborators across Argonne, other national laboratories, universities, and international research institutions.

Key Responsibilities

  • Develop mesoscale and/or macroscale computational models for battery materials and processes

  • Implement models and perform numerical simulations

  • Analyze and interpret simulation and experimental data

  • Integrate AI tools and workflows to enhance modeling and accelerate learning

  • Collaborate with interdisciplinary experimental and theoretical research teams

  • Prepare manuscripts for submission to peer-reviewed journals

  • Present research findings at scientific conferences and meetings

  • Prepare reports, presentations, and technical summaries for group meetings and sponsor reporting requirements

Position Requirements

  • Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemical Engineering, Mechanical Engineering, Materials Science, Chemistry, or a related field

  • A deep understanding ofelectrochemistry, electrochemical engineering, and battery science

  • Strong experience in developing computational models based onmass, momentum, and energy balance principles

  • Strong skills in applyingAI tools and agentic workflowsto scientific research

  • Some experience in proposing, planning, and designing experiments

  • Demonstrated ability to process, analyze, and interpret research results

  • Strong skill in formulating and solving scientific problems

  • Excellent written and oral communication skills

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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