Du entwirfst und implementierst tiefgreifende Lernmethoden und passt sie an reale Probleme an, um moderne Visualisierungstechnologien zu entwickeln.
Anforderungen
- •Currently enrolled in a bachelor's or master's degree
- •Very good coding experience in Python
- •Interest in technology and motivation for cooperation
- •Enthusiasm to learn and explore with creativity
- •Commitment to cross-functional team collaboration
- •Good communication skills in English
Deine Aufgaben
- •Deep Learning-Methoden entwerfen und implementieren
- •Metriken zur Bewertung der Methoden evaluieren
- •Methoden zur Lösung realer Probleme anpassen
- •Grundlage für nächste Generation der Visualisierungstechnologien schaffen
Deine Vorteile
Möglichkeit zur Technologieimplementierung
Mentorship durch erfahrene Experten
Modernes Arbeitsumfeld mit Homeoffice
Karriereoptionen in wachsendem Unternehmen
Original Beschreibung
# Internship Corporate Research in Deep Learning Techniques (f/m/x)
**Jena** | **Full time**
# Your role
We are seeking passionate and talented students who wants to make an impact by shaping next-generation products at ZEISS. Together with a team of students, scientists and research engineers, you will design, implement, and evaluate cutting-edge deep learning methodologies for the integration and fusion of foundation models for monocular depth estimation and disparity networks. By adapting these methods to support real-world problems you will help to build the foundation for next-generation visualization technologies.
**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 by offering remote workdays
* An opportunity to join a growing company with many career options
# Your profile
* Currently enrolled in a bachelor’s or master's degree in computer science, mathematics, physics or related fields
* Very good coding experience, preferably Python
* Interested in technology and motivated to cooperate on demanding tasks
* Enthusiastic to learn and explore with a high degree of initiative and creativity
* Committed to collaborating in cross-functional teams
* Good communication skills in English, German is a plus
Your ZEISS Recruiting Team:
Falk Dymke