Working Student - Energy-Efficient AI for Embedded Vision Systems (all genders)
Summary
Student role developing spiking neural networks for low-power embedded vision on neuromorphic hardware using PyTorch, with tasks spanning model training, hardware deployment, and energy measurement.
As the largest institute within the Fraunhofer-Gesellschaft, we have been conducting research for over 30 years in diverse fields such as artificial intelligence, microelectronics, sensor systems, data collection, signal processing and transmission. Talents from various engineering and natural science disciplines will find a wide range of exciting research topics under a single roof. A few highlights that reflect our innovative strength: Neuromorphic computing, 5G/6G mobile communication techno…