Job Description
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.
Bachelor’s degree in computer science, mathematics, physics, or related fields with an outstanding study record, and currently enrolled in a master’s program
Solid understanding of machine learning and computer vision
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:
Ines Kloda, Laura Steininger, Verena Hald
ITrap is a mass spectrometry technology for highly sensitive, real time gas analysis. The technology is used for process analytics and advanced process control in the semiconductor market. iTrap can analyze and control chemical processes in vacuum chambers of semiconductor manufacturing equipment and other applications.
