Your Role
Want to drive the next generation of intelligent products?
We are seeking passionate and talented students who want to make an impact by helping to develop next generation products and innovative machine learning algorithms at ZEISS.
Integrated in a fast-growing team of scientists and research engineers, you will work (for at least 3 months) on helping us to develop core algorithms and taking academic ideas into working prototypes.
Your Profile
-
A bachelor’s degree in computer science, mathematics, physics, or related fields with an outstanding study record, and are currently enrolled in a master’s program
-
A strong understanding of diffusion models
-
General expertise in algorithms, preferably with a focus on reconstruction problems
-
A solid programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow
-
High motivation, creativity, flexibility, and a structured and independent way of working
-
Effective communication and presentation skills
Your ZEISS Recruiting Team:
Franziska Gansloser, Selina Safradin
Similar Jobs
What We Do
ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023).
With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.
Data privacy: www.zeiss.com/data-protection
Imprint: http://zeiss.com/publisher
This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette








