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

Working for tomorrow today.  

Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.  

Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

• Support the mechanical engineering team on topics related to AI and machine learning
• Develop measures to improve data availability, data collection, and data analysis
• Together with the team, you will work on exciting projects that use AI to further advance automation

Your Profile

• You are enrolled in a degree program in mechanical engineering, computer science, mechatronics/precision engineering, or (applied) physics with a focus on machine learning or data science
• Ideally, you have already gained experience with similar tasks as part of university projects or previous theses
• You work independently and have a goal-oriented, focused, and structured way of working
• You have a strong interest in the analysis, processing, and evaluation of data
• You are curious and able to grasp new topics quickly

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Your ZEISS Recruiting Team:

Summary

• Location: Oberkochen
• Type: Part time