Mandatory Internship Development And Validation Of Conventional And Ai-based Electric Arc Detection Methods For Next-generation Automotive Electrical Systems
Bosch Rexroth Pty. Ltd.
Stuttgart, Germany
On-site
Ai/ml-based arc detection
Experimental validation
Deep learning (dl)
Bosch Rexroth is seeking a mandatory internship candidate to develop and validate conventional and AI-based electric arc detection methods for advanced automotive electrical systems in Stuttgart, Germany. The internship focuses on addressing critical safety challenges associated with electrical arcing in modern vehicles, requiring a background in electrical or automotive engineering along with programming skills in Python or MATLAB
Job Summary
This internship addresses the critical need for robust, intelligent arc detection algorithms by combining cutting-edge AI/ML technologies with comprehensive experimental validation.
You will establish a comprehensive arc detection database through systematic measurement and data collection across various load types, arc types, arc scenarios, and environmental conditions.
You will prototype novel AI/ML-based arc detection algorithms and validate all methods using professional test bench equipment.
Matching Summary
Match Score: 85
Bosch Rexroth is seeking a mandatory internship candidate to develop and validate conventional and AI-based electric arc detection methods for advanced automotive electrical systems in Stuttgart, Germany. The internship focuses on addressing critical safety challenges associated with electrical arcing in modern vehicles, requiring a background in electrical or automotive engineering along with programming skills in Python or MATLAB.
Skills & Requirements
Must-have
AI/ML-based arc detection
Experimental validation
Deep Learning (DL)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Support Vector Machines (SVM)
AutoEncoder architectures
Nice-to-have
Automotive electrical systems
Signal processing
Test bench infrastructure
Monte Carlo simulations
Key Requirements
Master studies in Electrical Engineering, Automotive Engineering or comparable
Proficient programming skills in Python and/or MATLAB
Familiarity with automotive electrical systems and safety standards
Experience with experimental work and measurement equipment