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Field
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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for conducting a wide variety of experimental tasks, including (but not limited to) mechanical testing (including fracture and fatigue), advanced materials characterisation (including SEM and EBSD), hydrogen
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, enjoyment and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a
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, digital twin, surrogate and reduced-order models and machine learning tools for part qualification and quantification of distortion, residual stress, microstructure and fatigue. Effective interpersonal
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manufacturing equipment. Mechanical testing facilities support a wide range of material and structural characterization, including tensile, fatigue, and torsional testing, as well as thermal and spectroscopic
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and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a
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commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) applied to fatigue
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consists of several research groups. The position is located within the research group of adj professor Jon Lampa and investigates the neuro-immune mechanisms behind rheumatic pain and fatigue, the effects
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including tensile, fatigue, creep, impact, and nanoindentation testing. Analyze lattice strain evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and
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, mechanical testing (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will be desirable. The position will involve significant interaction with a large team within