Mandatory Internship AI-Based Arc Detection for Automotive Electrical Systems
Core
Developing and validating AI-based arc detection solutions for high-voltage automotive electrical systems to ensure vehicle safety.
Role type
AI/ML Research Intern (Automotive Electrical Systems)
Builds
AI/ML-based arc detection algorithms and validation frameworks for automotive safety systems.
Domain
Automotive engineering, power electronics, machine learning
Deliverable
production ML models
Required skills
Deep Learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Support Vector Machines (SVM), AutoEncoder architectures, Python, MATLAB, signal processing, power electronics knowledge, experimental measurement techniques
Preferred skills
AI-generative modelling, Monte Carlo simulations, familiarity with automotive safety standards
Technologies
Python, MATLAB, Deep Learning frameworks, ZoneArc, Vbased, Ibased
Responsibilities
Establishing a comprehensive arc detection database through systematic measurement and data collection; benchmarking existing arc detection methods; validating methods under real test conditions using test bench infrastructure; prototyping novel AI/ML-based arc detection algorithms; assessing performance via Monte Carlo simulations.
Seniority
Intern