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
What you bring to the table
What you can expect
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Questions according to this position will be answered by:
Helene Köhler
Marketing assistant »Production quality«
Phone:
Fraunhofer Institute for Production Technology IPT
Requisition Number: 8382
Application Deadline:
#J-18808-LjbffrTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
27 Nov 2025Standort:
Aachen
Möchtest über ähnliche Jobs informiert werden? Dann beauftrage jetzt den Fuchsjobs KI Suchagenten!




