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
-
with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition
-
, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process
-
, combining finite element with boundary element and perfectly matched layer formulations. These models will be used to compute modal characteristics, as well as dispersion and attenuation curves of guided
-
in English Solid knowledge in finite element analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks
-
mechanics Computational modelling and finite element analysis Active dissemination of the results in scientific articles and participation in national and international conferences is integral to the job
-
suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English Solid knowledge in finite element
-
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
-
structural analysis and design. The candidate must have experience in probabilistic modelling and structural reliability methods, as well as non-linear finite element modelling. Mastering of programming
-
project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading