Internship in Next-Generation System Interaction with Contextual Voice Command Activation (f/m/x)

Your Role

We are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated in a team of scientists and research engineers, you will work (for at least 4 months) on research projects for interactive systems. In these projects voice commands play a crucial role for human-computer interaction capabilities. The internship will focus on voice commands with speaker and context identification without a wake-up word. It includes user interaction design with novel form factors and prototyping with new hardware and sensors in the context of automated speech recognition.

What We Offer

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position
• A modern working environment enabling hybrid work by offering remote workdays
• An opportunity to join a growing company with many career options

Your profile

• You are enrolled in a master’s or bachelor’s degree in Computer Science, Electrical Engineering, Physics, or similar
• You are interested in technology and motivated to work on challenging tasks
• You have a strong computer science background with very good coding skills
• You have experience and/or strong interest in human-centered design
• You also have some experiences in at least one of the topics listed above
• You are willing to collaborate and work in complementary teams
• Good communication skills in English and/or German
• You are willing to learn and explore with a high degree of initiative and creativity

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Contact

Selina Safradin

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 26. Okt. 2026

Veröffentlicht am 17. Okt. 2026