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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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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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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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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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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
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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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of the proposed doctoral individual project: The doctoral candidate will carry out the individual project titled: “Optimization of Functionally Graded Osteochondral Scaffolds” Objectives: 1) analyse existing FEM