Bosch Global Software Technologies GmbH
Mandatory Internship AI and Robotics(m/w/x)
Full-timeInternshipOn-site
Stuttgart
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BOBosch Group
Mandatory Internship AI-Based Arc Detection for Automotive Electrical Systems(m/w/x)
Stuttgart
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Establishing an AI-based arc detection database for automotive electrical systems. Master's degree in Electrical Engineering or comparable, with Python/MATLAB proficiency required. Internship confirmation provided.
Requirements
- Master studies in Electrical Engineering, Automotive Engineering or comparable
- Strong academic record with coursework in power electronics, signal processing, or Machine Learning
- Proficient programming skills in Python or MATLAB
- Familiarity with automotive electrical systems and safety standards
- Experience with experimental work and measurement equipment
- Adaptable, self-motivated individual capable of independent work
- Strong teamwork skills
- Detail-oriented, committed to quality
- Eager to learn new technical domains
- Interest in emerging automotive technologies
- Enrolled at university
- CV, transcript of records, enrollment certificate, examination regulations, and work/residence permit if indicated
Tasks
- Establish arc detection database
- Collect data from various load types
- Measure data for different arc types
- Record data under various arc scenarios
- Gather data in different environmental conditions
- Benchmark existing arc detection methods
- Develop and verify detection methods
- Validate methods under real test conditions
- Assess performance using Monte Carlo simulations
- Prototype AI/ML-based arc detection algorithms
- Utilize Deep Learning techniques
- Implement Convolutional Neural Networks
- Apply Recurrent Neural Networks
- Use Support Vector Machines
- Develop AutoEncoder architectures
- Enhance datasets with AI-generative modeling
- Validate all methods using professional equipment
- Test on Standalone ArcBench
- Evaluate with Integrated ArcBench@LabCar
- Assess performance on realistic load benches
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- MATLAB
- power electronics
- signal processing
- Machine Learning
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
Mandatory Internship AI-Based Arc Detection for Automotive Electrical Systems(m/w/x)
Stuttgart
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Establishing an AI-based arc detection database for automotive electrical systems. Master's degree in Electrical Engineering or comparable, with Python/MATLAB proficiency required. Internship confirmation provided.
Requirements
- Master studies in Electrical Engineering, Automotive Engineering or comparable
- Strong academic record with coursework in power electronics, signal processing, or Machine Learning
- Proficient programming skills in Python or MATLAB
- Familiarity with automotive electrical systems and safety standards
- Experience with experimental work and measurement equipment
- Adaptable, self-motivated individual capable of independent work
- Strong teamwork skills
- Detail-oriented, committed to quality
- Eager to learn new technical domains
- Interest in emerging automotive technologies
- Enrolled at university
- CV, transcript of records, enrollment certificate, examination regulations, and work/residence permit if indicated
Tasks
- Establish arc detection database
- Collect data from various load types
- Measure data for different arc types
- Record data under various arc scenarios
- Gather data in different environmental conditions
- Benchmark existing arc detection methods
- Develop and verify detection methods
- Validate methods under real test conditions
- Assess performance using Monte Carlo simulations
- Prototype AI/ML-based arc detection algorithms
- Utilize Deep Learning techniques
- Implement Convolutional Neural Networks
- Apply Recurrent Neural Networks
- Use Support Vector Machines
- Develop AutoEncoder architectures
- Enhance datasets with AI-generative modeling
- Validate all methods using professional equipment
- Test on Standalone ArcBench
- Evaluate with Integrated ArcBench@LabCar
- Assess performance on realistic load benches
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- MATLAB
- power electronics
- signal processing
- Machine Learning
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Bosch Group
Industry
Automotive
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Global Software Technologies GmbH
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Full-timeInternshipOn-siteStuttgart