Intern Ai & Digital Twins (f/m/x)

As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.

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. Your role will be at the forefront of tackling complex challenges in the field of ophthalmology

You will develop and apply cutting-edge computational methods, generate simulated sensory data at the device level, conduct in-depth statistical analyses on these data, and design, implement, and evaluated computational assistance approaches that operate seamlessly in real-time on devices

Your contribution won't stop at research and development

You will have the unique opportunity to share your findings and insights with our team, fostering a collaborative environment that thrives on innovation

Currently enrolled in a Master's degree program in Computer Science, Mathematics, Physics, Engineering, or a related field

Strong interest in technology and motivation to tackle challenging tasks

Understanding of computational assistance methods, preferably in signal processing, machine learning, and deep learning (embedded AI)

Experience with embedded systems and simulating sensory data in a laboratory setting

Hands-on programming skills in Python and C/C++

Experience with common machine learning frameworks search as PyTorch

Strong conceptual and analytical thinking, technical understanding, and creativity for solving complex problems in a self-organized manner

Willingness to cooperate and work in teams

Good communication skills in English and/or German