Bachelor-/ Master Thesis: »Machine Learning based anomaly detection in jet engine production«

Webseite Fraunhofer Institute for Production Technology IPT

The Fraunhofer-Gesellschaft ( currently operates 75 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 29,000 employees work with an annual research budget of 2.8 billion euros.

Machine learning (ML) has already been used in many applications to help optimizing production processes. ML can be used in the production of engine components to achieve higher component quality. For this reason, the thesis aims to automatically detect anomalies based on real acquired data of a milling process. Accurate detection of anomalies can be used to adjust process parameters, resulting in higher accuracies and thus higher product quality.

What you will do

  • Familiarization with the state of the art in ML-based anomaly detection
  • Implementation and benchmarking of different ML models
  • Uncertainty quantification of ML models in production
  • Evaluation and documentation of the results

What you bring to the table

  • You are studying mechanical engineering, computer science, industrial engineering, or a comparable subject
  • Initial experience in the field of machine learning is advantageous
  • A high degree of initiative and team spirit
  • Very good language skills in English

What you can expect

  • Ideal conditions for practical experience alongside your studies
  • Professional supervision and collaboration in a dedicated team
  • A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
  • Flexible working to combine study and job in the best possible way

Questions according to this position will be answered by:
Gustavo Laydner de Melo Rosa, Eng. Mec.
Research Assistant production quality
Phone: +49 241 8904-2

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