As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.
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.
Aufgaben
* Conduct cutting-edge research in Surgical AI and Computational Assistance for medical applications, with a focus on image-guided interventions in ophthalmic surgery.
* Develop, implement, and evaluate Surgical AI methods for:
- Real-time and near real-time assistance in surgical workflows (e.g. guidance, risk indication, quality control)
- Analysis and fusion of multimodal medical and surgical data (images, videos, signals, metadata)
- Decision support tools that improve safety, efficiency, and consistency in clinical and surgical procedures.
* Design robust and interpretable algorithms that can be deployed in real-world clinical environments.
* Perform in-depth statistical evaluation of your models on real clinical datasets and retrospective surgical cases.
* Collaborate closely with clinicians, domain experts, software engineers, and product managers to translate research prototypes into innovative ZEISS medical solutions.
* Publish and present your work at leading international conferences and in scientific journals.
* Share your insights within ZEISS, contributing to a collaborative, innovation-driven environment.
Profil
* Excellent Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
* Solid understanding of machine learning and deep learning; experience in computer vision and/or medical image or video analysis is a strong plus.
* Hands-on programming skills in Python and experience with common ML frameworks such as PyTorch.
* Strong interest in medical technology, surgical workflows, and AI-based assistance systems.
* Strong conceptual and analytical thinking, technical understanding, and creativity for solving complex, real-world problems in a self-organized manner.
* Willingness to collaborate in interdisciplinary teams, including engineers, clinicians, and business stakeholders.
* Good communication and presentation skills in English.
Wir bieten
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