Internship or Master's Thesis in Robotic Learning (m/f/x)

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. Motivation of the Work Transform today's research into tomorrow's applications – together. At ZEISS, we focus on user-centric innovations to turn ideas into groundbreaking solutions. Our robotics team at ZEISS is looking for highly motivated students to contribute to research and development in the fields of robotics and computer vision for next-generation applications. If you are passionate about pushing the boundaries of technology and applying your skills to real-world challenges, us!

We offer A dynamic and international research team with an active student community

Hands-on research experience in robotics and computer vision

The opportunity to develop and test proof-of-concept prototypes for real-world applications

The possibility to continue as part of a Master's thesis project

Your Role Design, implementation, and test computer vision and robotics solutions

Develop and present research findings and prototypes using state-of-the-art technologies

Plan and conduct experiments and demonstrations to validate concepts

Collaborate with a team of engineers and researchers

Additional Tasks in Robotic Learning Follow modern machine learning methods (Robot Foundation Models, Imitation Learning, and Reinforcement Learning) for intelligent robot navigation

Test approaches on robot prototypes under realistic conditions

Conduct benchmarks and analyses to further develop the performance of these algorithms

Enrolled in a Bachelor's or Master's program in computer science, robotics, electrical engineering, physics, mechanical engineering, or related fields Strong programming skills in Python and C/C++

Knowledge or experience in robotics, computer graphics, or computer vision

Creative, pragmatic, and self-motivated with strong analytical skills

Excellent organizational, problem-solving, and communication skills in English and German

Passion for innovation and enthusiasm for new technologies, as well as motivation to work in agile, interdisciplinary teams

If you are interested in this exciting opportunity, we look forward to receiving your application (CV incl. transcript of records)! JOBV1_EN