Internship Corporate Research in Deep Learning Techniques (f/m/x)

Your role

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

Your profile

• 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

Your ZEISS Recruiting Team:
Falk Dymke