Students: Data Infrastructure Developer
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.
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. 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.
Interested? Apply online now and be part of the Data-Based Methods team at Fraunhofer ENAS.
We look forward to getting to know you!
Please address any questions you may have to
Michaela Baum
E-mail: recruiting@enas.fraunhofer.de
For data protection reasons, we can only consider applications via our career portal - thank you.
Fraunhofer Institute for Electronic Nano Systems ENAS
Requisition Number: 78133 Application Deadline:
Job Segment:
Developer, Data Analyst, Fabrication, Programmer, Technology, Data, Manufacturing, Research