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# Senior Researcher, AI/ML Battery Modeler

- **Company:** General Motors
- **Location:** Warren, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Comsol Multiphysics, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Scientific Computating, SciPy, Systems Integration, High Performance Computing, Pytorch, Information Technology, Data Analytics
- **Published:** August 9, 2026
- **Apply:** https://www.juju.com/job/00000000gm6bfa

## About the Role

+ Master's or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML

 + Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains

 + Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)

 + Strong analytical skills with the ability to extract insight from complex datasets

 + Demonstrated research experience (e.g., publications, technical reports, or conference presentations)

 + Ability to clearly communicate complex technical concepts to diverse audiences

 + Strong collaboration and problem-solving skills, with the ability to influence across teams

 + Commitment to continuous learning and advancing the state of the art in AI/ML and battery technology

What will give you a competitive edge (Preferred Qualifications)

 + Experience with physics-informed or hybrid modeling approaches

 + Background in battery degradation, aging, or lifetime modeling

 + Familiarity with battery management systems (BMS) or system-level integration

 + Experience with large-scale datasets or high-performance computing environments

 + Contributions to patents, intellectual property, or external research collaborations

 + Experimental experience with measurements of battery material/electrochemical properties

## Description

As a Senior Researcher, you will shape the future of electric mobility by developing next-generation battery models using advanced AI/ML techniques. You'll build physics-informed, data-driven, and hybrid models - while defining new modeling approaches that push the boundaries of battery science and AI.

What You'll Do

 + Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation

 + Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior

 + Identify and develop novel modeling approaches for next-generation battery chemistries and systems

 + Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks

 + Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows

 + Publish and present your work through peer-reviewed journals, conferences, and technical forums

 + Drive technical direction through deep problem solving, collaboration, and influence across disciplines

 + Contribute to intellectual property and patents for new algorithms and modeling innovations, This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.


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