Mandatory Internship AI-Based Arc Detection for Automotive Electrical Systems

Robert Bosch Group; Stuttgart; Vor Ort; EUR 12.000 - 17.000; Vollzeit

Zusammenfassung

Robert Bosch Group invites a Master’s student to contribute to AI-based arc detection for automotive electrical systems. You will work on developing and validating novel algorithms, building a comprehensive arc-detection database, and benchmarking methods under real test conditions with Bosch test benches.

The internship emphasizes hands-on experimentation, Monte Carlo robustness analysis, and collaboration with hardware-in-the-loop test setups to ensure safety and reliability in future vehicles.

Qualifikationen

• Master's student in Electrical Engineering or Automotive related field.
• Strong coursework in power electronics, signal processing, and ML.
• Proficient programming in Python and/or MATLAB.
• Familiarity with automotive electrical systems and safety standards.

Aufgaben

• Develop and validate AI-based arc detection methods for automotive electrical systems.
• Build and curate an arc detection database across resistive, inductive, and power loads.

Kenntnisse

Python

MATLAB

Machine Learning

Power Electronics

Ausbildung

Master's degree in Electrical Engineering

Tools

ArcBench

Jobbeschreibung

Mandatory Internship AI-Based Arc Detection for Automotive Electrical Systems

• Full-time

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other.Join in and feel the difference. The Robert Bosch GmbHis looking forward to your application!

As vehicles adopt higher-voltage electrical systems (e.g., 48V), the risk of hazardous electric arcs from component failure increases, threatening vehicle safety and reliability. Existing arc detection methods are often inaccurate, leading to false alarms or missed events. This internship will address this challenge by developing and validating next-generation, AI-based detection solutions that operate reliably under real-world conditions, ensuring the safety of future automotive systems.

• During your internship, you will establish a comprehensive arc detection database through systematic measurement and data collection across various load types: Resistive (R), Inductive (I) and Power electronic loads (P);arc types: series and parallel arcs;arc scenarios: electrode degradation, plug/connector faults, guillotine wire cuts, pendulum-type contact and intermittent contacts;environmental conditions: various noise levels, impedance variations and electromagnetic disturbances.
• You will benchmark existing arc detection methods (ZoneArc, Vbased, Ibased and other commercial solutions) through development and verification using collected data.
• In addition, you will validate them under real test conditions using test bench infrastructure and assess their performance via Monte Carlo simulations for robustness analysis.
• Furthermore, you will prototype novel AI/ML-based arc detection algorithms utilizing: Deep Learning (DL), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Support Vector Machines (SVM) and AutoEncoder architectures, AI-generative modelling to enhance and expand training datasets.
• Last but not least, you will validate all methods using professional test bench equipment. The Standalone ArcBench with electronic loads (resistive, power, current, PWM capabilities) and the Integrated ArcBench@LabCar with realistic load benches, including ZoneECU, EPS (steering system), brake systems and Cooling Fan components.
• Education: Master studies in the field of Electrical Engineering, Automotive Engineering or comparable
• Experience and Knowledge:
  • strong academic record with coursework in power electronics, signal processing and/or Machine Learning
  • proficient programming skills in Python and/or MATLAB
  • familiarity with automotive electrical systems and safety standards
  • experience with experimental work and measurement equipment
• Personality and Working Practice: you are an adaptable, self-motivated individual who can work independently; you have strong teamwork skills; you are detail-oriented, committed to quality as well as eager to learn new technical domains
• Enthusiasm: for emerging automotive technologies
• Languages: business fluent in German and English

Start:according to prior agreement
Duration: 3 - 6 months(confirmation of mandatory internshiprequired)

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Zhiyi Xu (Functional Department)
[phone]

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