Working Student/Master Thesis Process Development for Transport Systems

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 RoleWith 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.

Analyze and characterize typical shock and load cases in transport and handling processes for highly sensitive optical components through literature review, data analysis, and experimental investigationsDevelop a methodology and guideline for the design of transport equipment and tooling, taking into account technical requirements as well as existing shop floor and shipping processesApply modern shock analysis methods such as Shock Response Spectrum (SRS) and Pseudo Velocity Shock Spectrum (PVSS) to evaluate and design transport and handling solutionsSimulate and experimentally verify the developed design methodology using selected real-world case studies, and derive robust design criteriaAssess technical and economic potential for simplifying and reducing the cost of transports and tooling, and prepare the results for later implementation in a Software toolYour ProfileEnrolled in a Master’s program in Mechanical Engineering, Mechatronics, or a comparable technical fieldFirst experience in dynamic analyses and shock analysis is advantageousKnowledge of data analysis with MATLAB, Python, or comparable softwareBasic knowledge in design as well as experience with CAD and FEM toolsSounds 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