Internship – AI for Neural Signal Processing in Healthcare Innovation (f/m/x)

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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