Internship Technical Reliability and Field Data Science (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, they 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. In this exciting role, you will actively participate in the reliability modeling and evaluation of field data. Your tasks could be as follows: Support in the development and implementation of reliability models

Analysis and evaluation of field data to optimize our systems

Insights into product development of highly complex lithography systems for microchip production

Knowing the applied basics of reliability design for complex systems

Acquisition of valuable knowledge in handling and evaluation of field data

Studies with very good services in the field of mechanical engineering, electrical engineering, physics, mechatronics or a similar subject

Study focuses on reliability, diagnosis, monitoring, modeling or data analysis/Data Science

Experiences in programming with Python or Matlab

Knowledge of Data Science, Statistics, Machine Learning or AI/GenAI

independent, solution-oriented and communicative procedures

Sounds exciting? Then become part of #teamZEISS and shape the future with us! Please submit your complete application documents (lifetime, certificates etc.) to us. JOBV1_EN