Wissenschaftliche*r Mitarbeiter*in neuromorpher Rechenarchitekturen (26082)
Core
Research and development of neuromorphic computing architectures, including Spiking Neural Networks and event-based signal processing.
Role type
Research Scientist (Neuromorphic Computing)
Builds
Neuromorphic systems, algorithms, and chip-level architectures
Domain
Hardware AI / Neuromorphic Engineering
Deliverable
production ML models
Required skills
Spiking Neural Networks, Machine Learning, Analog/RF or Mixed-Signal circuit development, Digital/Embedded systems, Python, C/C++, Simulation frameworks (Brian, NEST, PyTorch, Lava)
Preferred skills
Computational Neuroscience, Hardware-aware software optimization
Responsibilities
Design, implement, and evaluate algorithms for neuromorphic networks; simulate and experimentally validate neuromorphic systems; optimize hardware implementations on chip-level processors; investigate energy efficiency, latency, robustness, and scalability; contribute to novel chip and system architecture concepts; publish research findings in high-impact journals and conferences.