7 algorithm-sensor PhD scholarships in Germany

PhD Position - Digital Twin in Agricultural Vehicle Mechatronics

Technical University of Munich | Germany | 1 day ago

application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and

PhD in neural network training and neuromorphic system design

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | 28 days ago

are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we

PhD in analog and mixed signal IC design

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | 28 days ago

are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we

PhD in analog IC design for in-memory computing accelerators

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | 28 days ago

are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we

PhD in non-volatile memory circuit design

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | about 1 month ago

are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we

PhD in digital accelerator design for deep learning and neuromorphic computing

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | about 1 month ago

are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we

PhD in digital design for in-memory computing accelerator ASICs

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | about 1 month ago

are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we