Internship / Thesis on Algorithms and Image Processing in Dynamic mOCT (f/m/x)

Description du poste:

Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.
We are seeking passionate and talented students who want to make an impact by shaping next-generation products at ZEISS. Together with a team of students, scientists and research engineers, you will investigate different available algorithms for dynamic optical coherence tomography and compare results to other available microscopy modalities.

What We Offer

* The possibility to learn and implement cutting edge technology
* Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
* A modern working environment enabling hybrid work and remote workdays
* An opportunity to join a growing company with many career options
* Support and mentorship for your academic endeavors / thesis

Your Profile

* You are enrolled in a bachelor's or master's degree in life science, physics, engineering, or a related field
* You have proficient programming experience, preferably Python
* You ideally already have experience with image processing algorithms or projects
* You are interested in technology and motivated to cooperate on demanding tasks
* You are enthusiastic to learn and explore with a high degree of initiative and creativity
* You are committed to collaborating in cross-functional teams
* You are proficient in the English language and bring good communication skills

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:Falk Dymke