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 regardless 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.
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We are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated within a team of scientists and engineers, you will work on tactile sensing and perception for robotic manipulation. The project is focused on benchmarking state-of-the-art tactile sensors and demonstrating the role of tactile feedback for fine robotic manipulation.

Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

• Familiarize yourself with the state-of-the-art in tactile sensing, robotics and vision-language-action foundation models

• Implement prototype solutions using state-of-the-art techniques

• Validate your results through measurements conducted in a laboratory setup

• Assess the technical feasibility of your solutions

• Thoroughly document experimental outcomes and test results for future reference and analysis

Profil

• Currently enrolled in a master's degree in a STEM field (Computer Science, Robotics Engineering, Electrical Engineering)

• Proficiency in Python is mandatory, experience with ROS2 is a plus

• Strong foundation in linear algebra, optimization, and methodologies in computer vision

• Demonstrable experience in hardware prototyping and sensor integration is a plus

• Prior experience working with real robotic platforms is required

• A self-motivated and independent working style, coupled with a strong curiosity for tackling challenging topics that advance the state-of-the-art

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

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