EnerSys-posted 9 months ago
Intern
Reading, PA
Electrical Equipment, Appliance, and Component Manufacturing

As a Systems Modeling Intern, you'll collaborate with a high-performing team of engineers and energy storage experts to drive the development of next-generation battery systems, including advanced Lithium-Ion technology. You'll gain real-world experience applying machine learning (ML) and artificial intelligence (AI) to analyze battery performance trends and improve State of Health (SoH) prediction—helping shape the future of energy storage solutions.

  • Support ongoing projects and initiatives within the Systems Engineering team
  • Develop and refine physical system models for mechanical, electrical, electrochemical, and thermal analysis
  • Work with cross-functional engineering teams to collect, analyze, and verify model data
  • Apply machine learning and AI techniques to identify trends in battery performance and enhance predictive analytics for SoH
  • Gain exposure to real-world engineering challenges and contribute to innovative problem-solving
  • Enrolled in an accredited 4-year college pursuing a degree in Electrical Engineering, Aerospace Engineering, Computer Science, Systems Engineering, or related fields
  • Experience or coursework in Python, R, MATLAB, or other programming languages
  • Familiarity with modular programming for scalable, reusable models
  • Interest in data-driven engineering solutions, with a willingness to learn and leverage AI/ML techniques
  • Passion for energy storage technology and a drive to explore new possibilities
  • Gain hands-on experience with industry-leading energy storage technologies
  • Work with a diverse, cross-disciplinary team in a fast-paced, global organization
  • Develop technical and analytical skills that will set you apart in your career
  • Contribute to real-world projects that make a difference in sustainable energy solutions
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service