2027 Summer Intern – Research and Development – Vehicle Health Management
Core
Develop technologies for vehicle system diagnosis, prognosis, and fault-tolerant controls using physics-based modeling, data science, and advanced AI to predict system issues and improve vehicle ownership experience.
Role type
Summer Research Intern (Vehicle Health Management)
Builds
Next-generation technologies for diagnostics, prognostics, and system performance management for connected vehicles.
Domain
Automotive / Vehicle Health Management / AI & Data Science
Deliverable
production ML models
Required skills
Physics-based modeling, Data science, AI/ML development workflows, Python, PySpark, MATLAB/Simulink, Fault detection and isolation, Diagnostics and prognostics, Root cause analysis
Preferred skills
Deep learning, Large Language Models (LLMs), Causal AI, Reinforcement learning, Foundation models, Physics-informed machine learning, Controls, Optimization, Signal processing
Technologies
PyTorch, Tensorflow, PySpark, MATLAB, Simulink
Responsibilities
Generate innovative ideas in VHM, Develop technologies for diagnosis/prognosis/fault-tolerant controls, Execute research plans (concept to prototype), Document and present results
Seniority
Intern