6 algorithm-sensor "Fraunhofer Gesellschaft" PhD positions in Germany

PhD in neural network training and neuromorphic system design

Fraunhofer-Gesellschaft | Dresden, Sachsen | Germany | 2 months 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 | 2 months 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 | 2 months 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 | 3 months 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 | 3 months 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 | 3 months 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