Fraunhofer-Institut für Produktionstechnologie 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.

The subject data privacy is becoming increasingly important in artificial intelligence (AI) applications in
manufacturing. Although AI is increasingly being applied for process and product optimization in
industry through several machine learning methods, privacy concerns regarding model transparency and
data reconstruction potential represent risks for the company. This thesis will develop a method for
assessing model transparency and apply it to manufacturing use cases to uncover and evaluate the risks
of a potential privacy attack.

What you will do

  • Understanding the background of privacy attacks on ML models
  • Support through benchmarking model transparency assessment methods
  • Support by evaluating the transparency of models
  • Conducting data regeneration experiments

What you bring to the table

  • You are studying engineering, data science, computer science, CES or a comparable subject
  • You have first experience with object-oriented programming languages, machine learning,
    TensorFlow, PyTorch, scikit-learn
  • A high degree of initiative and team spirit
  • Good language skills in German and/or 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

Notice: You can write your project work or thesis with us immediately and in direct cooperation with
the Chair of Metrology and Quality Management. According to the guidelines of the RWTH Aachen
University, the internship is preferably to be completed at a manufacturing company and can only take
place with us in exceptional cases

Interested? Apply online now with your informative application documents:

Questions according to this position will be answered by:
Gustavo Laydner de Melo Rosa, Eng.
Research Fellow Production quality
Fraunhofer Institute for Production Technology IPT
Steinbachstraße 17, 52074 Aachen
Phone: +49 241 8904-256

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