PhD position in Modeling and Control of Nonlinear Dynamical Systems from Data

Job description

The Chair in Nonlinear Dynamics at ETH Zürich is inviting 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 objective is to provide efficient, theoretically sound, fast, and directly interpretable alternative in modelling to the black-box approach of neural networks.

• The selected candidate will work on the furhter 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 
• Ongoing and prior work in related areas by the Chair in Nonlinear Dynamics can be found at the group website
• 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

We offer

• 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
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits