Several PhD Positions – Co-Design for In-hardware Learning, Associative Memories and Kolmogorov-Arnold Networks

PhD Positions – Co-Design for In-hardware Learning, Associative Memories and Kolmogorov-Arnold Networks We are seeking highly motivated PhD candidates to join our research team and work at the intersection of brain-inspired computing, novel circuits and architectures, and machine learning. The Peter Grünberg Institute – Neuromorphic Compute Nodes (PGI-14) conducts research across several areas with the goal of closing the gap between the computational abilities of modern computers and those of the brain, especially in terms of energy efficiency. We develop novel computing capabilities by incorporating some of the remarkable features found in biological brains. We aim to lower the energy consumption of today's hardware while expanding our understanding of the fundamentals of computation.