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 in the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The goal is to provide efficient, theoretically sound, fast, and directly interpretable alternatives to black‑box approaches such as neural networks.
The selected candidate will work on the further development of spectral submanifold (SSM) methods, aiming to advance nonlinear model reduction.
Possible research directions include nonlinear modelling and control approaches for fluid–structure interactions, materials with memory, soft robotics, teleoperated 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
Holding a master's degree in mechanical engineering, applied mathematics, physics, or related fields.
Strong mathematical skills (evidenced by high grades) are required.
Prior research experience in fluid mechanics, structural vibrations, model reduction, or control is expected.
Experience in nonlinear dynamical systems methods and data‑driven analysis is a plus.
We offer
Your work will have impact within ETH Zurich, supporting professional development and contributing to societal progress.
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 staff and students are respected.
Application We look forward to receiving your online application with the following documents:
A CV
Bachelor and Master’s transcripts
Contact information of at least two references
Further information about the group can be found on the Chair of Nonlinear Dynamics website. Questions regarding the position should be directed to Prof. George Haller, georgehaller@ethz.ch (no applications).
Applications will be accepted exclusively through our online application portal. Applications via email or postal services will not be considered.
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The selected candidate will work on the further development of spectral submanifold (SSM) methods, aiming to advance nonlinear model reduction.
Possible research directions include nonlinear modelling and control approaches for fluid–structure interactions, materials with memory, soft robotics, teleoperated 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
Holding a master's degree in mechanical engineering, applied mathematics, physics, or related fields.
Strong mathematical skills (evidenced by high grades) are required.
Prior research experience in fluid mechanics, structural vibrations, model reduction, or control is expected.
Experience in nonlinear dynamical systems methods and data‑driven analysis is a plus.
We offer
Your work will have impact within ETH Zurich, supporting professional development and contributing to societal progress.
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 staff and students are respected.
Application We look forward to receiving your online application with the following documents:
A CV
Bachelor and Master’s transcripts
Contact information of at least two references
Further information about the group can be found on the Chair of Nonlinear Dynamics website. Questions regarding the position should be directed to Prof. George Haller, georgehaller@ethz.ch (no applications).
Applications will be accepted exclusively through our online application portal. Applications via email or postal services will not be considered.
#J-18808-Ljbffr
PhD position in Modeling and Control of Nonlinear Dynamical Systems from Data Arbeitgeber: Karlstad University
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