Working Student Data Analytics (f/m/x)

Job description

Enabler for smaller, more powerful, and more energy-efficient microchips Working for tomorrow today. Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics. 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. In this role, you will contribute to diagnostic and monitoring solutions for state-of-the-art lithography systems that form the basis of modern semiconductor manufacturing. Your responsibilities may include: Contributing to the development and assessment of diagnostic and monitoring concepts for lithography systems, learning how to analyze complex technical systems in a structured way Analyzing field data from installed systems and deriving insights from it Supporting the creation of business cases to evaluate the costs and benefits of new solutions and enable well-founded decisions Researching and identifying innovations that can be incorporated into our solutions Preparing your results and presenting them to the project team Your Profile Ongoing studies in mechanical engineering, electrical engineering, physics, mechatronics, or a comparable field Strong academic performance and interest in topics such as diagnostics, monitoring, AI, or data science High motivation to familiarize yourself with new topics Ideally, programming experience in Python or MATLAB An independent, solution-oriented and communicative working style, and enjoyment of working in interdisciplinary teams 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: Verena Hald