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Internship in Computer Vision for Semiconductor Metrology

vor 3 Monaten


Chemnitz, Sachsen, Deutschland Fraunhofer-Gesellschaft Vollzeit

The Fraunhofer Institute for Electronic Nano Systems ENAS excels in creating advanced systems that integrate electronic components, micro and nano sensors, and actuators with communication interfaces. Our focus is on developing tailored components, production technologies, and system integration solutions that are effectively applied in real-world scenarios.

Within the Data-based Methods team, we specialize in crafting practical applications utilizing artificial intelligence, machine learning, and computer vision, primarily aimed at the semiconductor manufacturing and medical technology sectors.

Are you enthusiastic about developing practical computer vision solutions for semiconductor metrology? We are seeking students to assist in the creation of computer vision models designed to analyze measurements from metrology equipment. Our objective is to enhance the efficiency of semiconductor production through the automation of image analysis, the implementation of web-based user interfaces, and the simplification of reporting processes.

Key Responsibilities:

  • Develop computer vision models for the analysis of measurement data.
  • Extract significant insights from metrological data.
  • Implement your models in web-based user interfaces.

We are currently looking for students for Master's theses, internships, and student assistant positions. We are open to discussing various ideas to find the most suitable role for you.

What You Bring:

  • A solid understanding and hands-on experience with image processing techniques or computer vision models.
  • Proficient programming skills, preferably in Python.
  • Strong analytical and mathematical reasoning abilities.
  • A keen interest in interdisciplinary collaboration at the intersection of software engineering, data science, and semiconductor metrology.
  • Currently enrolled in a program in Chemnitz, Mittweida, or nearby areas.
  • An average grade of less than 2 is preferred.

We value diversity in our workforce and encourage applications from all individuals, regardless of age, gender, nationality, ethnic background, religion, ideology, disability, sexual orientation, or identity. Severely disabled candidates will be given preference when equally qualified.

The Fraunhofer Institute plays a pivotal role in driving innovation by developing essential technologies for the future and facilitating their commercial application in industry. As a leader in groundbreaking advancements and scientific excellence, Fraunhofer contributes significantly to shaping society both now and in the future.

Interested in this opportunity? We look forward to learning more about you.