Research Associate in Neuromorphic Computing Architectures | Wissenschaftliche*r Mitarbeiter*in neuromorpher Rechenarchitekturen (26082)

Job Summary

This research position at the University of Wuppertal involves the cutting-edge development of neuromorphic computing architectures, specifically focusing on Spiking Neural Networks (SNNs) and event-based signal processing. As a Research Associate, you will be responsible for the design, implementation, and evaluation of algorithms and models, as well as the experimental validation of neuromorphic systems. A significant portion of the role involves hardware-oriented implementation and optimization at the chip level, investigating critical factors such as energy efficiency, latency, and scalability. You will also contribute to the conceptual design of novel chip architectures and publish your findings in high-impact scientific journals and conferences. This role is particularly attractive for those looking to pursue a doctorate or gain advanced professional experience in AI hardware within an international research environment. The position offers flexible working hours, home office options, and a collaborative atmosphere at a dynamic campus university.