Mandatory Internship In Data Analysis & Machine Learning Model Research For Automotive Systems

Robert Bosch GmbH

Stuttgart, Germany
On-site
Python or matlab programming
Pandas, numpy, matplotlib/seaborn
Data analysis techniques
This mandatory internship marks the first phase of an innovative project to develop a machine learning (ML)‑based Load Profile Generator for vehicle E/E powernet simulations

Job Summary

  • This mandatory internship marks the first phase of an innovative project to develop a machine learning (ML)‑based Load Profile Generator for vehicle E/E powernet simulations.
  • You will analyze extensive vehicle operational datasets and conduct key research to identify the most suitable ML architecture.
  • At the end of the internship, you will summarize your findings in a detailed report and presentation, providing a well‑reasoned recommendation on the most promising ML model architecture and data strategy for the next project phase.

Matching Summary

This mandatory internship marks the first phase of an innovative project to develop a machine learning (ML)‑based Load Profile Generator for vehicle E/E powernet simulations.

Skills & Requirements

Must-have

  • Python or MATLAB programming
  • Pandas, NumPy, Matplotlib/Seaborn
  • Data analysis techniques
  • Fundamental machine learning concepts
  • Time-series data analysis
  • Independent work and clear documentation

Nice-to-have

  • Strong analytical and investigative mindset
  • Structured and methodical approach
  • Keen interest in algorithmic approaches
  • ML frameworks experience

Key Requirements

  • Enrollment at university
  • Mandatory internship confirmation

Work Rights

Not specified

Tailored Resume

Cover Letter