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that the master's degree has been awarded. Programming skills, e.g., Fortran or C++, is a requirement. Competence in the theory of the finite element method is an advantage. Competence in the theory
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good interpersonal, written and verbal communication skills, with the ability to work independently
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the department’s Bachelor’s and Master’s programmes (e.g. Engineering Mechanics, Finite Element Methods, Strength of Materials, and Material Modelling). You will play an active role in the materials science and
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with finite elements, in making statistical estimates, or simply in dealing with functions that are very difficult to handle. The comparability among the various techniques for numerical approximation
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Technology. Additional Actions : Composite Materials, Finite Element Modelling (FEM), Impact Engineering, High-Rate Experimental Mechanics, AI Assisted Surrogate Modelling
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
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computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated