Steinbeis Studies in Process Development Visual Inspection (m/f/x)

As a student (m/w/x), you work with your colleagues at eye level and create ideal conditions for your later career.

In an open and modern environment with numerous development and further training opportunities, ZEISS employees work in a culture characterised by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age and sexual orientation and identity.

Apply in less than 10 minutes.

Enabler for smaller, more powerful and more energy-efficient microchips

Work where the morning arises. About 80 percent of all microchips worldwide are manufactured using ZEISS technologies. As the heart of any electronically controlled system, You are no longer to think away from our everyday life – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and solutions for process control, ZEISS enables the production of increasingly smaller, more powerful and more energy-efficient microchips – and thus decisively shapes the age of microelectronics and nanoelectronics with its innovations.

With us you have the opportunity to optimally connect your studies and practice and to actively collaborate on exciting projects. So you gain valuable experiences, build your network and develop both professionally and personally. Support in the introduction of automated defect detection on optics for semiconductor production

the operation of the web-based pipeline for annotation to train our machine learning models

Enter, test and improve the quality of the annotation, based on the deviations determined, the underlying labeling catalog

Developing algorithms for defect detection and classification using machine learning or computer vision methods

Develop software concepts and evaluate them using Rapid Prototyping models

Present your findings in the team and advance potential for improvement beyond your field in cooperation with relevant experts

very good services as a student of computer science, software engineering, data analytics or comparable

preferably sound knowledge in Python or Matlab with the willingness to work into our toolbox

Experience in handling Web API’s

Knowledge in Basics of Process Control Statistics

Knowledge of German and English in Word and Writing (at least CEFR level B2)

independent and team-oriented working

Sounds exciting? Then become part of #teamZEISS and shape the future with us! Please submit your complete application documents (lifetime, certificates etc.) to us.

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