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Summer Semester 2026 limited to 6 monthsYOUR TASKS:Actively participate in improvement projects e.g. the implementation of matrix productionSupport or lead subprojects in the area of Lean ProductionDevelop creative solutions to increase productivity and qualityContribute to the desig
Summer Semester 2026 limited to 6 monthsYOUR TASKS:Actively participate in improvement projects e.g. the implementation of matrix productionSupport or lead subprojects in the area of Lean ProductionDevelop creative solutions to increase productivity and qualityContribute to the desig
Summer Semester 2026 - limited to 3-6 monthsYOUR TASKS:Support the Market Intelligence team in conducting market and competitor analysesConduct internet and database research on various topicsPrepare analyze and visualize dataCreate result presentations in German and EnglishMaintain S
Summer Semester 2026 - limited to 3-6 monthsYOUR TASKS:Support the Market Intelligence team in conducting market and competitor analysesConduct internet and database research on various topicsPrepare analyze and visualize dataCreate result presentations in German and EnglishMaintain S
Summer Semester 2026 Limited to 36 MonthsIn gas flows varying inlet conditions can lead to turbulent flow patterns that negatively affect the measurement accuracy of flow sensors. The objective of this internship or thesis project is to systematically investigate the impact of differ
Summer Semester 2026 Limited to 36 MonthsIn gas flows varying inlet conditions can lead to turbulent flow patterns that negatively affect the measurement accuracy of flow sensors. The objective of this internship or thesis project is to systematically investigate the impact of differ
Summer Semester 2026 Limited to 6 MonthsAutomation in logistics increasingly relies on the analysis of 3D data. A central application is the shape and object recognition of shipped goods. However processing large point clouds presents a major challenge as millions of measurement poin
Summer Semester 2026 Limited to 6 MonthsAutomation in logistics increasingly relies on the analysis of 3D data. A central application is the shape and object recognition of shipped goods. However processing large point clouds presents a major challenge as millions of measurement poin
