University of Twente (UT)
This position is part of the Horizon Europe Pathfinder project , coordinated by the University of Twente and in collaboration with IBM Zürich and the universities of Oxford and Heidelberg. HYBRAIN’s vision is to realize a radically new technology for ultra-fast and energy-efficient edge AI inference based on a world-first, unique, brain-inspired hybrid architecture of integrated photonics and unconventional electronics with collocated memory and processing. As the most stringent latency bottleneck in CNNs arise from the initial convolution layers, we will take advantage of the ultrahigh throughput and low latency of photonic convolutional processors (PCPs). Their output is processed using cascaded analog electronic linear and novel nonlinear classifier layers.
In 2020 we introduced the concept of (DNPUs, Nature 577 , 341-345 (2020). In this postdoc project you will work on the development of efficient (CMOS-based) electronics and machine-learning procedures to be applied in hybrid architectures of DNPU networks, integrated photonics and analog in-memory computing.
Specifications
University of Twente (UT)
Requirements
Conditions of employment
Department
You will be working in the Group of Prof. Van der Wiel. The NanoElectronics Group (NE) performs research and provides education in the field of nanoelectronics, comprising the study of the electronic and magnetic properties of systems with critical dimensions in the nanoregime. It is our mission to excel in the field of nanoelectronics through the development of novel (concepts for) electronic devices and systems with nanoscale dimensions for application in future generations of electronics and information storage. In particular, we focus on neuromorphic electronics, quantum (spin) electronics, 2D electronic systems and acousto-electronics. The NanoElectronics Group is a founding member of BRAINS, the Center for Brain-Inspired Nano Systems at the University of Twente (www.utwente.nl/brains).