Jobbeschreibung
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.
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ZEISS is seeking passionate and talented students eager to make a significant impact on the future of medical technology. As a key member of our dynamic team of innovation experts, you will have the opportunity to shape next-generation products and drive meaningful innovation in medical applications.
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, perform in-depth statistical analyses on multimodal medical datasets, and create, implement, and evaluate computational assistance approaches on real-world data.
But your contribution won't stop at research and development. You will also have the unique opportunity to share your findings and insights with our team, fostering a collaborative environment that thrives on innovation.
Join us at ZEISS and be part of the team that's pushing the boundaries of medical technology.
What We Offer
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An opportunity to build the foundation for next-generation products
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The chance to learn and apply cutting-edge machine learning methods
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Mentorship from experienced top-level experts
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The option to write a master's thesis following an internship or working student position
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A modern work environment with a mix of remote and on-site days
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The opportunity to join a growing company with numerous career options
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You are interested in technology and motivated to tackle challenging tasks
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Currently enrolled in a Master's degree program of Computer Science, Mathematics, Physics, Engineering, or a related field
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Understanding of computational assistance methods, preferably in the fields of machine learning, deep learning, and computer vision
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Hands-on programming skills in Python
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Experience with common machine learning frameworks such as PyTorch
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Strong conceptual and analytical thinking, technical understanding, and creativity for solving complex problems in a self-organized manner
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Willingness to collaborate and work in complementary teams
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Good communication skills in English and/or German