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Field
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automated finite element and inverse-identification workflows that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement
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in crystal plasticity finite element modelling and/or phase-field simulations. Experience in developing AI or machine learning models for physics-based scientific or engineering applications
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acquiring full-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows
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controlled relative humidities on model papers using a dedicated micro-tensile machine coupled with 3D real-time in situ observation using synchrotron X-ray microtomography (ESRF). • 3D Image analysis
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ability to effectively communicate. Experience in AI/machine learning Desirable Qualifications Experience with finite element software. Experience in metallurgical sample preparation. Experience with
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physical principles of acoustics and the related numerical modelling techniques, such as the Finite Element Method (FEM), Boundary Element Method (BEM), and/or with the basic principles of Machine
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of the magnetic model into a finite-element-based software toolbox will be at Aalto University. The experimental validation will include sample-level characterizations as well as measurements on
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can be found on the PI’s website: https://aobol.github.io/AoboLi/ The position builds on the group’s recent development of SIDERIUS, an agentic framework for long-horizon machine-learning development
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
Engineering, Engineering Physics, Physics, Mathemat Employer Raven51 AG (BAM) Location Berlin (DE) Salary Salary group E 13 TVöD Closing date 13 Sep 2026 Website https://www.bam.de/ View more categories View
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electric machines feed by frequency converters. The development and implementation of the magnetic model into a finite-element-based software toolbox will be at Aalto University. The experimental