ZEISS

Working Student Mechanical Engineering/Data Science (f/m/x)

Germany · Work style not stated · Part time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerZEISS
LocationGermany
Work styleWork style not stated
Employment typePart time
Employer posted18 Jun 2026

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.

Show full description

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:

Verena Hald

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