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, preferably involving fluid mechanics and/or microstructure related simulations. Experience with numerical simulations based on the finite element method (FEM) or the finite volume method (FVM). Experience with
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. FEM, CFD) start to “pile up”, rarely being ever used after they have served their purpose. These models can be also seen in the context of product life cycle, i.e. a product going through ideation
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if they demonstrate strong relevant skills. Coursework or strong background in computational mechanics / FEM, numerical methods, and scientific programming. Exposure to machine learning / data-driven modelling and/or
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. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing
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along with their simulation results (e.g. FEM, CFD) start to “pile up”, rarely being ever used after they have served their purpose. These models can be also seen in the context of product life cycle, i.e
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Strong background in solid/computational mechanics, including FEM and structural analysis. Experience or interest in metamaterials, fracture
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functionalization techniques, along with computational approaches such as FDTD or FEM, will also be appreciated. SOFT SKILLS: Analytical and critical thinking, motivation, flexibility REQUESTED DOCUMENTS
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highly desirable. Additional valued skills include numerical simulations (e.g., FEM or FDTD). Excellent written and oral communication skills in English are required. SOFT SKILLS: Analytical and critical
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structural degradation phenomena—including fatigue, corrosion, and biofouling—would also be beneficial. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar
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research effort, other mechanical and electrical faults are targeted. This includes stator faults such as stator winding short circuits. The PhD Candidate is expected to utilize FEM numerical models