16 finite-element-analysis positions at AALTO UNIVERSITY in Ireland-University-Ranking-2024
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/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an advantage: Experience with
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are essential. Knowledge of fire simulations as a plus. Skills of performing non-linear numerical analyses using general-purpose finite element analysis software particularly Abaqus are essential. Skills
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resistance of cold-formed steel structures are essential. Knowledge of fire simulations as a plus. Skills of performing non-linear numerical analyses using general-purpose finite element analysis software
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, building the analysis dataset, statistical modelling and reporting of results. Based on this work, you will write your Master’s thesis in English. The results may be further developed into scientific
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc
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design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and
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-efficient thin film electrocatalysts based on earth-abundant elements for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) aimed at anion exchange membrane (AEM) electrolyzers. Thin film
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-abundant elements for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) aimed at anion exchange membrane (AEM) electrolyzers. Thin film catalysts can bridge fundamental insights obtained
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selection and pruning using observational constraints, extend best‑match runs over multiple stellar activity cycles, and prepare datasets for ML analysis. Contribute to coupling global and local radiative MHD