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