As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.
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.
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.
Want to drive the next generation of intelligent products?
We are seeking passionate and talented students who want to make an impact by helping to develop next generation products and innovative machine learning algorithms at ZEISS. Integrated in a fast-growing team of scientists and research engineers, you will work (for at least 3 months) on helping us to develop core algorithms and taking academic ideas into working prototypes.
* A Bachelor's degree in computer science, mathematics, physics, or related fields with an outstanding study record, and are currently enrolled in a master's program
* Solid understanding of machine learning and computer vision
* Strong programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow
* Preferably experience with medical data processing, including familiarity with medical imaging modalities such as video, X-ray, MRI
* High motivation, creativity, flexibility, and a structured and independent way of working
* Effective communication and presentation skills
Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, certificates etc.).