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implemented sensors locally intelligent. Together with the existing diverse activities in the field of sensor platform development, the institute is currently strengthening its expertise in the areas
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-frequency in-situ sensors and instrumental lab measurements, as well as new high-throughput AI-based approaches, while ensuring interoperability of data processing pipelines in coordination with scientists
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allowance and a family allowance (if eligible)) starting November 1, 2025. Research areas: DC7: Programming models and high-level compilation for near-sensor dataflow execution under security constraints
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living allowance, a mobility allowance and a family allowance (if eligible)) starting November 1, 2025. Research areas: DC7: Programming models and high-level compilation for near-sensor dataflow execution
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prediction of queue dissolution by combining traffic flow theory with data from roadway and AMOD sensors, nonlinear optimization of the signal plan, cooperative control of traffic signals and AMOD vehicle
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. Become part
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studying computer science, embedded systems or a comparable study programme You are interested in embedded AI applications and have some experience in programming microcontrollers and sensor technology You
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The department Multi Device Integration (MDI) focuses on the development of innovative MEMS sensors and actuators and their integration into application-oriented systems. The aim of application
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-sensors or quantum-computers. The prerequisite for this is a layer sequence of nitrogen-doped and intrinsic diamond layers with thicknesses in the nm range in order to introduce color centers
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the future of advanced air mobility through involvement in innovative drone-related projects that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming Smart Mobility