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. Responsibilities
The selected candidate will work on the further development of spectral submanifold (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. Profile
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. Benefits
Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected.
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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. Responsibilities
The selected candidate will work on the further development of spectral submanifold (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. Profile
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. Benefits
Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected.
#J-18808-Ljbffr
PhD position in Modeling and Control of Nonlinear Dynamical Systems from Data Arbeitgeber: Eidgenössische Technische Hochschule Zürich
Als Software Research & Development Engineer bei ETH Zürich profitieren Sie von einer inspirierenden und kollaborativen Arbeitsumgebung in einer weltweit anerkannten Forschungseinrichtung. Wir bieten spannende Herausforderungen, vielfältige Projekte und die Möglichkeit, Ihre Fähigkeiten weiterzuentwickeln, während Sie an der Schnittstelle zwischen Forschung, Technik und Betrieb arbeiten. Unsere Kultur fördert Vielfalt und Inklusion, und wir setzen uns aktiv für eine nachhaltige Zukunft ein.
Kontaktdaten:
Eidgenössische Technische Hochschule Zürich Recruiting-Team
