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 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.
We are seeking passionate and talented students who wants to make an impact by shaping next-generation products at ZEISS. Together with a team of students, scientists and research engineers, you will design, implement, and evaluate cutting-edge deep learning methodologies for the integration and fusion of foundation models for monocular depth estimation and disparity networks. By adapting these methods to support real-world problems you will help to build the foundation for next-generation visualization technologies.
What We Offer
* The possibility to learn and implement cutting edge technology
* Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
* A modern working environment enabling hybrid work by offering remote workdays
* An opportunity to join a growing company with many career options
* Currently enrolled in a bachelor's or master's degree in computer science, mathematics, physics or related fields
* Very good coding experience, preferably Python
* Interested in technology and motivated to cooperate on demanding tasks
* Enthusiastic to learn and explore with a high degree of initiative and creativity
* Committed to collaborating in cross-functional teams
* Good communication skills in English, German is a plus