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

Jetzt bewerben

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