INTERNSHIP/ THESIS »DEEP LEARNING AND MACHINE LEARNING IN PRODUCTION«

Fraunhofer-Institut für Produktionstechnologie IPT

The Fraunhofer-Gesellschaft (www.fraunhofer.com) 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.
In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning
(ML) are successfully applied. Examples of use cases include the production of rockets, stem cells to fight
blood cancer, optics, or lightweight components. In particular, tabular and image data are recorded
during production. In the context of the thesis, DL – as well as ML pipelines are to be created for the
applications of the production, which are taken in our industry projects directly on site into the
operation.

What you will do

  • Creation and preparation of image and tabular data in collaboration with experts
  • Implementation of DL & ML models depending on the use case
  • Comparison of DL-& ML-based methods with methods of classical data analysis
  • Validation and documentation of results

What you bring to the table

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

What you can expect

  • An excellent equipment of machines and devices
  • Collaboration in industry or industry-oriented research projects and in a dedicated team
  • Space for creative work

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:

https://jobs.fraunhofer.de/job-invite/8382/

Questions according to this position will be answered by:
Maik Frye M.Sc.
Research assistant production quality
Fraunhofer Institute for Production Technology IPT
Steinbachstraße 17, 52074 Aachen
Phone: +49 241 8904-538

Um dich für diesen Job zu bewerben, besuche bitte jobs.fraunhofer.de.