BT/MT: »Deep learning and machine learning in production«

Stellenbeschreibung:

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

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.