Praktikum im Bereich Softwareentwicklung & Machine Learning

Munich (Germany)
Student / Recent Graduate
ZEISS Gruppe
IT & Digital

The Job

Your Role You will play a crucial role and actively contribute to the success of ZEISS Solutions Lab. In this challenging function you support our customers from academia and industry in automatizing their image acquisition/computer vision tasks You will have the opportunity to work with different ZEISS microscopes as well as physical samples and image data sets originating from a large spectrum of applications (such as electronics, additive manufacturing, bio/pharma, or aero industry) Together with our data scientists you will implement full microscopy automation pipelines ranging from the automated steering of the microscopes for image acquisition to the automated image analysis (often with deep learning segmentation) and the final statistical analysis You will have the possibility to improve your knowledge in many areas, ranging from application of deep learning models and image processing algorithms to the structuring of software projects and the interaction with customers Your Profile currently studying physics, informatics, materials science, biology or any other STEM subject and successfully completed at least 2 years of study advanced programming skills with strong proficiency in Python and the scientific ecosystem (e.g. numpy, matplotlib, pandas) first experience with the usage of light or electron microscopes or at least willingness to learn these skills deep curiosity and willingness to dive into new subject areas ability to work in an independent, goal- and output-oriented manner fun working in agile, interdisciplinary teams ​fluent in English or German The following will be considered an advantage familiarity with computer vision packages for Python, such as scikit-image or openCV familiarity with electronics industry or materials science first experience with machine learning basic C# experience Your ZEISS Recruiting Team: Mrs. Selina Riccio, Mrs. Trami Le

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ZEISS Gruppe