PhD Position in Experimental Nonlinear Dynamics and Nanomechanics

This PhD position at ETH Zurich’s Spin Physics group focuses on experimental nonlinear dynamics and nanomechanics, investigating whether artificial neural networks can be built from driven nonlinear resonators. The project involves designing and operating programmable networks of Kerr parametric oscillators (KPOs), combining electrical circuits and micro-electromechanical systems (MEMS). The successful candidate will map attractor landscapes, analyze switching statistics, and compare experimental results with theoretical models in collaboration with Prof. O. Zilberberg at the University of Konstanz. The work bridges nonequilibrium statistical physics and neuromorphic computing, offering a unique opportunity to contribute to both fundamental research and applied technology. The position is ideal for motivated physicists or electrical engineers with hands-on experimental skills and a curiosity for interdisciplinary challenges.

• Design and assemble a programmable network of up to eight coupled Kerr parametric oscillators (KPOs), integrating control electronics, readout systems, and measurement software.
• Map dynamical attractor landscapes, switching statistics, and probability currents from experimental trajectories using real-time data acquisition.
• Collaborate closely with theoretical partners (Prof. O. Zilberberg, University of Konstanz) to compare experimental results with simulations and analytical models.
• Publish and present findings internationally in top-tier physics and engineering journals/conferences.
• Develop and optimize measurement techniques for nonlinear dynamical systems, including lock-in detection and FPGA-based signal processing.