Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems

"The research will focus on autonomous edge systems based on brain-inspired, sparse and event-driven computing, with emphasis on edge and near-sensor processing. Theneuromorphic component will address the design, optimization and deployment of Spiking Neural Networks (SNNs) and event-based algorithms on embedded processorsand specialized accelerators, including data from neuromorphic sensors such as event cameras. The security component will concern embedded software and middlewareexploiting hardware security mechanisms, such as roots of trust, cryptographic accelerators and control-flow protection. Hardware-software co-design will be investigated on open-hardware RISC-V SoCs. The researcher should therefore develop expertise in embedded and cyber-physical systems, neuromorphic computing, heterogeneous platform optimization, RISC-V architectures and hardware-assisted security."