PhD position in Modeling and Control of Nonlinear Dynamical Systems from Data

ETH Zurich seeks a PhD candidate to develop interpretable, data-driven modeling and control methods for nonlinear dynamical systems, replacing black-box neural networks with theoretically sound alternatives.

The Chair in Nonlinear Dynamics at ETH Zurich is looking for a full-time PhD researcher to create fast, clear, and mathematically rigorous modeling techniques for complex physical systems. The role focuses on building alternatives to neural networks that remain directly interpretable while handling data-only scenarios. The appointment will sit within either the Department of Mechanical and Process Engineering or the Department of Mathematics, based on the applicant’s academic background.

Responsibilities

• Advance spectral submanifold (SSM) techniques to improve nonlinear model reduction concepts.
• Investigate nonlinear modeling and control strategies for fluid-structure interactions, materials with memory, soft robotics, tele-operated systems, lightweight space structures, and turbulent flows.

Requirements

• Hold a Master’s degree in mechanical engineering, applied mathematics, physics, or a closely related discipline.
• Demonstrate strong mathematical abilities, supported by excellent academic grades.
• Possess prior research experience in fluid mechanics, structural vibrations, model reduction, or control systems.

Nice to have

• Familiarity with nonlinear dynamical systems methods and data-driven analysis techniques.

What the company offers

• Public transport season tickets.
• Car sharing.
• A wide range of sports offered by the ASVZ.
• Childcare.
• Attractive pension benefits.

About the company

ETH Zurich supports professional development and actively contributes to positive change in society.

• ETH Zurich supports professional development and actively contributes to positive change in society.