The Fraunhofer-Gesellschaft ( www.fraunhofer.com ) currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 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

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:
Dr. Maik Frye

Research assistant production quality

Phone: +49 241 8904-538

Fraunhofer Institute for Production Technology IPT

Requisition Number: 8382 Application Deadline: