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

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

The Chair in Nonlinear Dynamics at ETH Zürich invites applications for a 100% PhD position focused on the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly interpretable alternatives in modelling to the black‑box approach of neural networks.

• The selected candidate will work on the further development of spectral sub manifold (SSM) methods, aiming to further develop concepts in nonlinear model reduction.
• Possible research directions include the development of nonlinear modelling and control approaches for fluid‑structure interactions, material with memory, soft robotics, tele‑operated systems, lightweight space structures, and turbulent flows.
• The position will be based at either the Department of Mechanical and Process Engineering or the Department of Mathematics, depending on the candidate’s background and preferences.
• The starting date is flexible but an early start is preferred.

• The successful candidate is expected to have a master's degree in mechanical engineering, applied mathematics, physics, or related areas.
• Strong mathematical skills (evidenced by high grades) are required.
• Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected.
• Experience in nonlinear dynamical systems methods and data‑driven analysis is a plus.

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