Job description
The Chair in Nonlinear Dynamics at ETH Zürich is seeking a highly motivated PhD student in the area of data-driven model reduction for high-dimensional nonlinear physical problems. The successful candidate will work on the application and extension of data-driven nonlinear model reduction based on the recent theory of spectral submanifolds (SSMs). SSM-reduction is a dynamical-systems-based alternative to data-based system modeling via neural networks. SSM-based modeling provides explicit and predictive polynomial ODE models for the observed dominant dynamics of nonlinear systems. A nontechnical introduction can be found here, whereas a more technical introduction is available from here.
Job description
The objective of the position is to work within a Swiss-French consortium of academic institutions to solve challenging model reduction problems using SSM-reduction and compare this approach with other model reduction methods, such as dynamic mode decomposition (DMD) or neural network-based methods. The problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will be based either within the Department of Mechanical and Process Engineering or the Department of Mathematics at ETH Zurich, depending on the candidate's background and preferences.
Profile
A master's degree in mechanical engineering, applied mathematics, or physics is required. A strong background in analysis and linear algebra (evidenced by strong undergraduate and master-level grades in these subjects) is essential. Experience with large-scale computations and data handling is required. Some background in nonlinear dynamical systems is also expected. The candidate must have excellent communication skills in English (oral and written) and be willing to work in an international team environment.
We offer
* Your career with impact: Become part of ETH Zurich, which supports your professional development and actively contributes to positive societal change.
* We are committed to a sustainable and climate-neutral university.
* You can expect numerous benefits, such as public transport season tickets, car sharing, a wide range of sports offered by the ASVZ, childcare, and attractive pension benefits.
Working, teaching, and research at ETH Zurich
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About ETH Zürich
ETH Zurich is one of the world’s leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and the direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe and forging connections worldwide, we work together to develop solutions for the global challenges of today and tomorrow.
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