PhD Position in Experimental Nonlinear Dynamics and Nanomechanics

This PhD position at ETH Zürich’s Spin Physics group offers a hands-on opportunity to investigate artificial neural networks through driven nonlinear resonators and micro-electromechanical systems (MEMS). The project focuses on building and operating programmable networks of Kerr parametric oscillators (KPOs), mapping their attractor landscapes, and studying noise-driven switching behaviors. The successful candidate will collaborate closely with theoretical partners at the University of Konstanz, publish findings internationally, and contribute to bridging nonequilibrium statistical physics and neuromorphic computing. The role emphasizes experimental work in electronics, signal processing, and Python, with strong theoretical engagement.

• Design, build, and operate a programmable network of up to eight coupled Kerr parametric oscillators (KPOs), including control electronics and measurement software.
• Map attractor landscapes, switching statistics, and probability currents from experimental trajectories using real-time data acquisition.
• Compare experimental results with theoretical models and simulations, collaborating closely with Prof. O. Zilberberg’s group at the University of Konstanz.
• Publish and present research findings internationally in top-tier scientific venues.
• Develop and refine measurement techniques for lock-in detection, signal processing, and FPGA-based data acquisition.