Bachelor-/ Master Thesis: »Deep learning and machine learning in production«

Webseite Fraunhofer Institute for Production Technology 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

Questions according to this position will be answered by:
Maik Frye M.Sc.
Research assistant production quality
Phone: +49 241 8904-538

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