Mandatory Internship in Artificial Intelligence - Anomaly Detection for Device Under Test

Posted on July 31, 2025
Ludwigsburg
Posted on July 31, 2025

About this role

Your tasks

  • During your internship, you will develop AI and Machine Learning-based data analysis techniques for anomaly and pattern detection.
  • You will identify anomalies in test data logs from ECUs and vehicles, as well as determine the best-fitting models to automatically detect patterns of interest in test data or the Device Under Test using AI and Machine Learning-based algorithms.
  • Last but not least, you will familiarize yourself with existing setups and challenges, contribute innovative ideas to effectively test ECUs, and identify critical issues through the application of AI, ML and image processing.

Your profile

  • Education: studies in the field of Computer Science, Electronics, Electrical Engineering, Mechatronics Engineering or comparable
  • Experience and Knowledge: proficiency in programming languages such as Python or C#; strong practical knowledge of various AI and Machine Learning models in the areas of data evaluation and pattern detection; good understanding of various image processing-based models; experience in developing image processing algorithms for pattern or object recognition and an understanding of electrical engineering concepts is an advantage
  • Personality and Working Practice: you are a responsible and flexible individual with strong communication skills
  • Languages: good communication skills in written and spoken English

Contact & additional information

Start: according to prior agreement
Duration: 6 months (confirmation of mandatory internship required)

We offer you

  • 35 hours/week with flextime
  • a permanent contact person who will accompany you during your internship
  • a modern working environment, as well as mobile working by arrangement
  • the opportunity to become part of our student network students@bosch Stuttgart
  • discounts in our company restaurants

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?
Vishal Vijayan (Functional Department)
+49 711 811 29451

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