PhD Position in Modeling and Control of Nonlinear Dynamical Systems from Data
Develop theoretically sound, interpretable models for nonlinear dynamical systems using data-driven methods.
Best for:Best for applicants with a strong mathematical background and prior research experience in dynamical systems, fluid mechanics, or control theory seeking to develop cutting-edge, interpretable modeling techniques.
Overview
This PhD position at ETH Zurich focuses on advancing spectral submanifold (SSM) methods to create efficient, interpretable alternatives to black-box neural network models for complex physical systems. The research will explore nonlinear modeling and control approaches across domains such as fluid-structure interactions, soft robotics, and turbulent flows. The successful candidate will contribute to theoretical developments while applying these methods to real-world problems, with flexibility to align the project with their background in either mechanical engineering or applied mathematics. The position is based in Zurich, offering a collaborative environment at the intersection of mathematics and engineering.
What you'll do
- Develop and extend spectral submanifold (SSM) methods for nonlinear dynamical systems to improve model interpretability and efficiency
- Apply SSM-based approaches to complex physical problems such as fluid-structure interactions, soft robotics, or turbulent flows
- Collaborate with faculty and peers to integrate theoretical advancements with practical applications
- Publish research findings in peer-reviewed journals and present at international conferences
- Contribute to the development of open-source tools or software for nonlinear model reduction and control
- Engage in interdisciplinary discussions to refine research directions based on real-world challenges
- Assist in supervising undergraduate or master's students involved in related projects
- Participate in departmental seminars, workshops, and collaborative research initiatives
Requirements
Degree required: MSc in Mechanical Engineering, Applied Mathematics, Physics, or a closely related field
Degree offered: PhD
Language: English; proficiency in German is beneficial but not required
Instruction: English
- Strong mathematical background evidenced by high academic performance
- Prior research experience in fluid mechanics, structural vibrations, model reduction, or control theory
- Proficiency in programming languages commonly used in scientific computing (e.g., MATLAB, Python)
- Applicants must hold a master's degree (or equivalent) at the time of enrollment
- No nationality restrictions; international applicants are encouraged to apply
Funding & terms
How to apply
Submit an online application via the ETH Zurich portal. Include a CV, bachelor's and master's transcripts, and contact details for at least two academic references. Ensure all documents are prepared in English. Direct inquiries to Prof. George Haller; do not send applications via email.
- CV
- Bachelor's and Master's transcripts
- Contact information for at least two references
Contact
George Haller· Professor and Chair of Nonlinear Dynamics
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