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You will develop a new coupled solid/ fluid mechanics-based numerical model to simulate the motion of debris flows You will incorporate novel field data currently being collected at numerous
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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
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focuses on the development of revealed and stated preference surveys to model passenger response to the effects on train service of planned railway maintenance disruptions in Switzerland. Project
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++ or similar Experience with data processing and model interpretation Ability to work independently and collaboratively in an international research environment Good written and spoken English Hands-on
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the collected field data as well as available meteorological data to drive a state-of-the-art thermo-mechanical model (Elmer/Ice) to investigate the past and future evolution of the temperature field of
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contribute to defining the condition indicator types in the digital asset model, to integrating the indicators into the digital twin prototype, and to inspection and validation campaigns at the Hagerbach Test
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. Working closely with academic, industry, and public authority partners across Europe, the candidate’s core tasks will include: Structure Interventions: Structure and model potential infrastructure
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broad library of model DCHs spanning a range of dynamic covalent chemistries (boronate ester, hydrazone, imine, and disulfide bonds) and network architectures (ideal, real, and interpenetrating networks