Students: Data Infrastructure Developer

• Collaboration in innovative and exciting research projects, with the opportunity to contribute your own ideas.
• Professional supervision and a varied range of tasks.
• A collegial, pleasant and motivating working environment.
• Flexible working hours and thus the optimal compatibility of studies and practice.

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. Severely disabled persons are given preference in the event of equal suitability.

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.

• Strong understanding and practical experience in software development and design.
• Proficient in abstract and structural thinking, with the ability to solve complex problems.
• Excellent programming skills, preferably with Python.
• Still studying in Chemnitz, Mittweida or the surrounding area.
• A grade point average of < 2 is preferred.

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society - more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow. At the Fraunhofer Institute of Electronic Nanosystems (ENAS), we are leveraging AI technologies to revolutionize semiconductor fabrication processes. Our mission is to develop robust data analysis tools that streamline and enhance semiconductor fabrication processes. We are seeking a talented student to join our team and contribute to the development of cutting-edge data infrastructure. As we navigate the age of data and AI, the role of data infrastructure becomes increasingly pivotal. Your work will directly impact our ability to collect, analyze, and leverage data to drive innovation in semiconductor fabrication. We are currently seeking candidates for Master's theses, internships, and student assistant positions. We can discuss our ideas together to find the right job for you.