PhD Student in reduced order modeling for dynamics of jointed structures

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. You will be part of the Chair of Nonlinear Dynamics, which is active in researching analytical and numerical methods to analyze complex dynamical systems. The chair is embedded in the Institute of Mechanical Systems (IMES) in the departement of Mechanical & Process Engineering (D-MAVT). We are seeking a

PhD Student in reduced order modeling for dynamics of jointed structures

In structural assemblages, found in automotive, civil and aerospace applications, damping heavily depends on friction occurring at joint contact interfaces. An accurate determination of the damping is extremely important to assess the vibrational level, which in turn determines the overall performance in terms of fatigue life, comfort, and operation. When subject to a wide spectrum of operational loads, the contact area and the associated friction forces are likely to change significantly. At present, no methods are available to construct reduced order models of joints that are able to accurately and quickly reproduce the dynamic behavior, without calibration with dedicated and expensive tests. In this project, we aim at developing efficient reduced order models of joints without resorting to dedicated experiments, but rather by extracting dominant features from high-fidelity finite element models. The project will combine projection-based model order reduction, hyper-reduction, and homogenization techniques to construct reduced order models that solely originate from numerical models and tribological properties of materials.

The successful candidate holds a MSc degree in mechanical/aerospace/civil engineering, applied mathematics, or related subjects. A solid background in nonlinear structural dynamics and computational mechanics is required. Experience in model order reduction and joint modeling is desirable. Good programming skills (C++, Python, Matlab, etc.) are required. Experience with commercial finite element programs (Abaqus, Ansys, Nastran, or similar) for nonlinear analysis is an advantage. Excellent command of English is necessary and communications as well as presentation skills are important.

We look forward to receiving your online application including the following documents: CV, motivation letter, Master of Science diploma, grade transcripts, relevant publications and contact details of referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the IMES institute please visit our website: www.imes.ethz.ch. Questions regarding the position should be directed to Dr. Paolo Tiso by email: ptiso@ethz.ch (no applications).


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ETH Zurich

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2019-05-05


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