Master Thesis Simulation and Virtual Prototyping (f/m/x) (m/w/d)

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

Welcome to ZEISS – a company that combines innovation and responsibility! Our corporate functions are diverse and make a decisive contribution to the strategic orientation and sustainable success of ZEISS.

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.

• Support our AI & Algorithm Research team, which develops advanced algorithmic solutions for optical systems.

• Work on the development of a digital twin for optical diffractive networks, leveraging state-of-the-art optical simulation tools and modern machine learning frameworks

• Help to design and investigate optical diffractive networks for industry-relevant applications, with a particular focus on performance, tolerance analysis, and manufacturability

• Motivated and talented student who is eager to contribute to next-generation optical technologies within the scope of a master's thesis

• Solid background in physics, with a strong focus on optics (especially wave optics)

• Strong interest in rapid prototyping using Python/PyTorch, combining wave-optical simulations with machine learning approaches

• Hands-on experience in Python programming, ideally with PyTorch and machine learning applications

• High level of curiosity, initiative, and creativity, with a willingness to explore new topics independently

• Good communication skills in English and German

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