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

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, join 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, implement, 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

Your Profile

• 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 inkl. transcript of records)!

Your ZEISS Recruiting Team:

Franziska Gansloser