Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Newcastle University
- Aalborg University
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Aalborg Universitet
- Delft University of Technology (TU Delft)
- ETH Zürich
- Empa
- Helmholtz-Zentrum Geesthacht
- Inria, the French national research institute for the digital sciences
- Instituto de Engenharia Mecânica
- NTNU Norwegian University of Science and Technology
- Queensland University of Technology
- Technical University of Denmark
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universitat Autonoma de Barcelona
- University of Bergen
- University of Bristol;
- University of Nottingham
- University of Oxford
- University of Sussex
- University of Twente (UT)
- 14 more »
- « less
-
Field
-
, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a
-
phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
-
element methods. Knowledge of aluminium alloys Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
-
functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
-
implants using finite element analysis and topology optimization. Join us to shape the future of personalized orthopedics Job description Faculty of Mechanical Engineering at TU Delft Are you passionate
-
, finite element analysis, programming and numerical methods. Applicants are expected to have achieved a First class (or, in special cases, an upper-class, 2:1) honours MEng/MSc degree or equivalent in
-
to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
-
) and multiaxial regimes (tension–compression–torsion; axial–axial cruciform in-phase and anti-phase), using modal and dynamic analyses through finite element software, and experimental frequency analyses
-
Essential requirements Knowledge and skills in Finite Element Analysis Skills in additive manufacturing Desired requirements Knowledge and experience in optimization methods (e.g. Genetic algorithm) Knowledge
-
level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted to your specific interests and your