Internship Corporate Research in Deep Learning Techniques (f/m/x)
Internship Corporate Research in Deep Learning Techniques (f/m/x)
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Job Description
Your role
We are seeking passionate and talented students who wants to make an impact by shaping nextgeneration products at ZEISS. Together with a team of students scientists and research engineers you will design implement and evaluate cuttingedge deep learning methodologies for the integration and fusion of foundation models for monocular depth estimation and disparity networks. By adapting these methods to support realworld problems you will help to build the foundation for nextgeneration visualization technologies.
What We Offer
The possibility to learn and implement cutting edge technology
Interpersonal and interdisciplinary mentorship by experienced PhDlevel 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 bachelors or masters 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 crossfunctional teams
Good communication skills in English German is a plus
Your ZEISS Recruiting Team:
Falk DymkeRequired Experience:
Intern
Employment Type
Full-Time
