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Posted Sep 24, 2026
Eggenstein-Leopoldshafen bei Karlsruhe
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Salary (estimate)
Full-time reference: €37,000–€58,000/year
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.
Your role Motivation of the work Turning today’s research into tomorrow’s applications – together. With a clear focus on user and customer needs, Corporate Research and Technology at ZEISS focuses on developing and advancing future technologies for all business units within the ZEISS Group. For our team of researchers and engineers, we are looking for a student to support our concept work on AI-driven solutions for future medical applications in neuroscience and healthcare.
Development and integration of state-of-the-art machine learning algorithms for future ophthalmic and other medical devices Gain hands-on experience with multiple neural signal modalities Analyze, research, test, and implement core functions for multimodal data from the fields of neuroscience and healthcare Search for solutions in scientific literature and patent documents, and tailor these solutions to our needs Conduct and evaluate experiments on large scale real-world datasets We offer An agile work environment with the possibility to work on various tasks for frontier research on medical applications A dynamic, motivated, diverse team with a large and active student community A modern office culture mixed with flexible working hours Hands-on experience in a large, interdisciplinary research environment Deep insights into the exciting practical work of development, ranging from conceptual work for low-TRL proof-of-concepts to early product development Your profile A bachelor’s degree and current enrollment in a master’s program in computer science, biomedical engineering, electrical engineering, physics, mathematics, mechanical engineering, or a related field with a focus on machine learning Advanced programming experience in Python, ideally prior experience in C/C++ Hands-on experience with deep learning frameworks like PyTorch Ideally, expertise in neuroscience and electrophysiological data analysis Preferably experience in software development with Microsoft Azure Excellent organization, problem-solving & communication skills (English and/or German) A passion for innovation and enthusiasm for new technologies as well as motivation to work in agile, interdisciplinary teams Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).
Contact Selina Safradin
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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation
Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation
Full-time reference: €37,000–€58,000/year
