PhD Position – Hybrid electronic/photonic integrated neuromorphic computing systems for large-scale machine learning

There exists a substantial gap between the computational abilities of modern computers and those of the brain. The new Peter Grünberg Institute – Neuromorphic Compute Nodes (PGI-14) aims to close this gap and 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. Practical application areas include AI and Machine learning, intractable NP-hard problems, scientific computing, and signal processing. We utilize novel technologies such as analog memristors combined with modern CMOS elements to build practical circuits and integrated chips for end-to-end demonstrations in the laboratory. The institute has close collaborations with the new Peter Grünberg Institute - Neuromorphic Sof...