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 regardless 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.

Your role

We are seeking passionate and talented students who want to shape next-generation products at ZEISS. Integrated in a team of scientists and research engineers, you will work (for at least 4 months) on research projects in 3D computer vision for next-generation metrology systems. These projects range from object classification, transfer learning, synthetic data pipelines and dimensional accuracy measurement

What We Offer

• An opportunity to build the foundation for next-generation products

• The possibility to learn and implement cutting edge 3D computer vision methods

• Mentorship by experienced PhD-level experts

• The option to write a master thesis following an internship or working student position

• The possibility of continued employment as a working student for up to 2 years

• A modern working environment enabling hybrid work by offering remote workdays

• An opportunity to join a quickly growing company with many career options

Your profile

• You are interested in technology and motivated to work on challenging tasks

• You are enrolled in a bachelor’s or master's degree in Computer Science, Mechanical Engineering or similar

• You have a strong computer science background with very good coding skills in Python and C++

• You also have some experiences in at least one of the topics listed above

• You are willing to collaborate and work in complementary teams

• Good communication skills in English and/or German

• You are willing to learn and explore with a high degree of initiative and creativity

Contact

Franziska Gansloser