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)
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
* After clicking the 'Read more' button, the original advert will open on our partner's website, where you can see the details of this vacancy and contact information. If you need a translation of this text, after returning to our website it will be prepared and you can read it by clicking the 'Translation' button.
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
![]() | 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.
For more information read the original ad