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-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
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-domain (FDTD) or finite-element methods Ability to independently plan experiments, analyze data, and communicate results in peer-reviewed publications Preferred Hands-on experience with cleanroom
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staff. Experience with finite element libraries and numerical methods would further strengthen the application. Additional Information Benefits You will be appointed for a period of maximum 16 months full
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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element method. Proficient in python
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
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/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an advantage: Experience with
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
observations with microstructural features and macromechanical test results # Finite element simulation of mechanical tests, in particular for stress analysis at fracture initiation sites in the context of local
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-4DµXRD results. Implementing crystal plasticity finite element models that use the experimental data as input and to understand the observed local strain heterogeneities You will work in close