PhD Position (f/m/d) - Memory-Centric NPU Architectures and Emerging Memory Technologies for Edge AI

As AI models continue to grow in size and complexity, memory subsystems are emerging as a fundamental bottleneck in modern AI accelerators. The efficiency of future NPU-based systems will increasingly depend on how data is stored, moved, and processed across the memory hierarchy.

We are looking for a PhD candidate to work on Memory-Centric NPU Architectures and Emerging Memory Technologies for Edge AI. This PhD project focuses on exploring memory-centric AI accelerator architectures that integrate advanced NPUs with emerging memory technologies such as eDRAM and next-generation embedded memories. The goal is to develop innovative hardware/software co-design methodologies that improve performance, power efficiency, memory utilization, and scalability for future edge AI and embedded Generative AI systems.

Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.

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