0Internship – AI for Neural Signal Processing in Healthcare Innovation (f/m/x)
ZEISS | Germany | 76xxx Eggenstein-Leopoldshafen | Practical training | Part time - flexible / Full time | Published since: 18.05.2026 on stepstone.de

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

Branch: Electrical engineering Branch: Electrical engineering


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 silence 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 tasks • Your profile • What we offer

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 silence 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.

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 tailoring solutions to our needs

Conduct and assessment experiments on large scale real-world datasets

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.). .

Location

ava ZEISS
76344  Eggenstein-Leopoldshafen
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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