Postdoctoral Position: Neuromorphic and In-Memory Spintronic Systems for Secure AI Hardware

Job description

- Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing.
- Exploring hardware-level security mechanisms based on the intrinsic stochasticity and non-volatility of nano-devices.
- Implementing simulation frameworks and experimental validation through lab characterization of devices and circuits.
- Designing and evaluating energy-efficient, secure computing systems for AI and edge applications.
- Contributing to collaborative research proposals, dissemination activities, and joint publications in leading international venues.
- Guiding and working with Master and Ph.D. students at ECE and collaborators as needed.

More information - see the attached link or email: sshreya AT ece.au.dk