Senior Researcher, AI/ML Battery Modeler

General Motors•Warren, MI

2d•Hybrid

About The Position

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. This role is categorized as hybrid. This means the successful candidate is expected to report to the Research Administration Building at our Global Technical Center in Warren, MI three times per week, at minimum. The Role 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.

Requirements

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

Nice To Haves

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

Responsibilities

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