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particular, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision approaches is optional but
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
, neural operators are combined with classical numerical methods to efficiently approximate parameterized finite-element models. By integrating data-driven and FEM-based approaches, hybrid models are
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, you will first adapt existing finite element models (FE) to represent mechanical faults. You will then implement a suitable interface to the FE model through which magnetic forces can be taken into
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
knowledge and practical experience in microstructural characterization using light and electron microscopy (SEM, EBSD) Knowledge of the finite element method is an advantage Proven record of publications in
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dimensioning and finite element analysis (FEA) is an advantage Experience in the setup, assembly or operation of complex technical or experimental systems, as well as the ability to provide technical
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; basic knowledge of Fortran is an advantage Experience with FEM (Finite Element Method) simulation software, e.g., Abaqus or ANSYS, is expected; knowledge of user subroutine implementation is an
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electromagnetic fields using the finite element method, electrical measurement technology, accelerator physics, electrical engineering You enjoy working in a small team of specialists, seeking a constant exchange
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, cryogenics, finite-element simulations (FEM), and data acquisition systems is desirable Excellent written and spoken English skills Strong teamwork and communication skills in interdisciplinary research
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microscopy (SEM), and, ideally, thin-film characterization and analysis. Familiarity with computer-aided design and technical drawing, preferably using Autodesk Inventor, as well as the Finite Element
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supercomputers (in terms of achievable parallelism) for quadratic unconstrained binary optimization. Another example could be stochastic spiking neurons for solving finite-element tessellations in a