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

As a student, you work with your colleagues on an equal footing and create ideal conditions for your future career.

Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application silence of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes.

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, You have become an integral part of our everyday lives – whether in smartphones, smart homes or smart professionals. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS driving 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. With us, you have the opportunity to perfectly combine your practical studies while participating in 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

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.).

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