Internship – AI for Neural Signal Processing in Healthcare Innovation (f/m/x)
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What you'll do
- 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
What they're looking for
- 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
- 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
Nice to have
- Ideally, expertise in neuroscience and electrophysiological data analysis
- Preferably experience in software development with Microsoft Azure
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
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.).
Your ZEISS Recruiting Team:
Selina SafradinCompany
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