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polymers, Injection moulding, extrusion, extrusion-based 3D printing, direct ink writing, finite element method (FEM). Specific Requirements Scientific knowledge in: Processing and manufacturing of polymers
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computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
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-physics systems, particularly thermal-mechanical analysis in metal additive manufacturing. Familiarity with finite element/finite volume methods, high-performance computing, and simulation data processing
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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experience of management of research, using both qualitative and quantitative methods. With excellent communication skills, you will have expertise in finite element analysis (FEA), impact analysis
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applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven
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National Institute of Research and Development for Electrochemistry and Condensed Matter | Romania | about 1 month ago
of materials. • Numerical simulation (CAE) of fluid dynamic behavior using finite element analysis (FEM) and strength criteria. • CAD design (Catia V5, Ansys). Important skills include openness to learning and
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, anisotropic conductive film bonding and wire bonding Finite element Method (FEM) simulations (MEMS, Electro-static and Quasi-static simulations) Discrete electronic design (Analog and digital design using COTS
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describe the damage present in critical areas. They rely on multi-scale finite element simulations with multiphysics couplings between electrical, thermal, and mechanical domains. In addition, it is
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn