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ZEISS | Germany | Jena | Practical training | Part time - flexible / Full time / Home office | Published since: 29.04.2025 on stepstone.de

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

Branch: Electrical engineering Branch: Electrical engineering


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 silence 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. JOBV1_EN

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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 silence 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-edge deep learning methodologies for the integration and fusion of 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

JOBV1_EN

Company location

Location

ava ZEISS
Jena
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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