PhD Position in Data-Driven Model: The Chair in Nonlinear Dynamics at ETH Zürich is inviting applications for a 100% PhD position focused on data-driven model reduction for high-dimensional nonlinear physical problems. The successful candidate will be part of a Swiss-French consortium and will engage in cutting-edge research that combines theory and practical applications.
PhD Position in Data-Driven Nonlinear Model Reduction
| Designation | PhD Position in Data-Driven Nonlinear Model Reduction |
|---|---|
| Research Area | Nonlinear Dynamics, Data-Driven Model Reduction |
| Location | ETH Zürich, Switzerland |
| Eligibility/Qualification | Master’s degree in Mechanical Engineering, Applied Mathematics, or Physics; Strong analytical and linear algebra background; Experience with large-scale computations and data handling; Basic knowledge of nonlinear dynamical systems; Excellent English communication skills. |
Description
The selected candidate will work on spectral submanifold (SSM) methods, aiming to further develop concepts in nonlinear model reduction. The research involves comparison of SSM-reduction with other methods such as Dynamic Mode Decomposition (DMD) and neural network-based approaches. 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.
How to Apply
Interested candidates should submit their application online, including:
- A CV
- Bachelor and Master’s transcripts
- The contact information of at least two references
Only applications submitted through the online portal will be accepted.
Last Date for Apply
December 15, 2024
For further information, you can reach out to Prof. George Haller at georgehaller@ethz.ch. For more details about the Chair in Nonlinear Dynamics, visit georgehaller.com.
