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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 13 days ago
supervised by Artur Palha in the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to structure-preserving finite element methods, iterative methods, and
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will be on compressor system mechanical and electrical design considering sealing and cooling of components. The models will be validated using Finite Element and Thermal Analysis tools. Candidates must
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/materials (e.g., Finite Element Analysis) and/or experimental structural testing. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The
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and strength analysis, including the finite element method (FEM). Ability to use measuring instruments and prepare scientific publications in accordance with the publishing standards of international
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Finite Element Modelling. Knowledge of or strong interest in Fracture Mechanics and fatigue analysis. Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus
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: Conducting research on capacitive micromachined ultrasound transducers and their associated electronics Modeling with finite-element analysis software and acoustic simulation software Establishing
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sequential and/or non-sequential raytracing tools (Zemax, Code V, OSLO, FRED, LightTools, or ASAP). Experience with electromagnetic field simulation using finite-difference time domain, finite element
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finite element (FE) software. The resulting FE model will define the digital twin of the welded structure and provide the basis for the second PhD project, which will use the digital twin together
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
, neural operators are combined with classical numerical methods to efficiently approximate parameterized finite-element models. By integrating data-driven and FEM-based approaches, hybrid models are
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for the statistical analysis of research and experimental data (e.g., Statgraphics, Statistica, R). 6. Knowledge of FEM (Finite Element Method) techniques and tools (e.g., Ansys or similar). 7