Hybrid Summer Intern: Advanced EV Power & AI R&D

General Motors Company

Warren (MI)

Hybride

USD 20 000 - 33 000

Plein temps

Il y a 2 jours
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Résumé du poste

General Motors Company is seeking a highly motivated 2027 Summer Intern to support research in electrification and propulsion within the EPSR Lab in Warren, MI. The role blends analytical work, simulation, and hands-on testing in a collaborative environment.

You will explore advanced electric-machine topologies, develop control strategies, and apply AI methods to improve motor performance, reliability, and efficiency for future HEV/BEV platforms.

Qualifications

  • Current enrollment in an accredited advanced degree (MS or PhD) program.
  • Interest in electric machines, controls, power electronics, or vehicle electrification.
  • Strong analytical, problem-solving, and technical communication skills.

Responsabilités

  • Investigate advanced electric-machine topologies such as rare-earth-free synchronous reluctance, induction, and switched reluctance machines.
  • Develop, evaluate, and improve control strategies for electric drive systems.
  • Apply AI/ML methods to engineering tasks like design optimization and diagnostics.
  • Support simulation, modeling, and concept development for HEV/EV propulsion.
  • Participate in drive-system testing, lab experiments, and hardware validation.
  • Collaborate with researchers, engineers, and cross-functional teams.

Connaissances

Electric machines
Control systems
Power electronics
Vehicle electrification
Artificial intelligence

Formation

MS or PhD enrollment

Outils

MATLAB/Simulink
Finite-element analysis
Python
C/C++
Lab instrumentation

Description du poste

General Motors Company is seeking a highly motivated 2027 Summer Intern to support research in electrification and propulsion within the EPSR Lab in Warren, MI. The role blends analytical work, simulation, and hands-on testing in a collaborative environment.

You will explore advanced electric-machine topologies, develop control strategies, and apply AI methods to improve motor performance, reliability, and efficiency for future HEV/BEV platforms.

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