Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Aalborg University
- Forschungszentrum Jülich
- Helmholtz-Zentrum Hereon
- Instituto de Engenharia Mecânica
- Technical University of Denmark
- University of South-Eastern Norway
- University of Tübingen
- Aalborg Universitet
- CNRS
- DAAD
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Institut National des Sciences Appliquées de Lyon
- KU LEUVEN
- Linköping University
- Northeastern University London
- Queensland University of Technology
- Tallinn University of Technology
- The University of Manchester
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universidade do Minho
- University of Amsterdam (UvA)
- University of Oxford
- University of Surrey
- University of Sussex;
- University of Twente
- University of Twente (UT)
- Université Gustave Eiffel
- 24 more »
- « less
-
Field
-
computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field Good knowledge of numerical methods and finite-element analysis Solid programming skills in C
-
, 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
-
. 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
-
reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
-
theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization, or Materials Science. More specifically, we are looking for candidates with
-
(neural mass models) as well as at the neuron level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted
-
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
-
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
-
element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical
-
) 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