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. Your Role 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. 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 You will Develop and integrate cutting-edge machine learning algorithms for future ophthalmological and other medical devices Gain hands-on experience with multiple neural signal modalities Analyze, research, test, and implement core functionalities for multi-modal data specific to neuroscience and healthcare Research solutions in scientific and patent literature and tailor solutions to our needs Conduct and evaluate experiments on large scale real-world datasets Your Profile A bachelor’s degree and current enrollment in a master’s program in computer science, biomedical engineering, physics, electrical engineering, 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, domain knowledge in neuroscience, electrophysiological data analysis Ideally, experience in software engineering and 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.). Your ZEISS Recruiting Team: Selina Safradin