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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
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experience developing biological application an additional plus Experience coding / applying finite difference, finite element or finite volume methods Experience using optimization software such as GAMS
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, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using COMSOL Multiphysics, and in-situ/operando spectroscopy, among other
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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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engineering discipline Experience and skills · Proficiency with finite element modelling and FEA software like ABAQUS Explicit or LS-DYNA · Experience in impact modelling or continuum damage
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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. Ability to perform finite element simulations using software such as COMSOL, ANSYS, or ABAQUS. Experience in utilizing these tools for in-depth analysis is highly desirable. Required License/Registration
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(beyond the main PhD focus) such as additive manufacturing and 3D printing, machine learning, artificial intelligence, is a plus. Expertise in computational mechanics and finite element simulation and
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metal-organic frameworks, 2D/hierarchical structures, nanoparticles, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using