Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Carnegie Mellon University
- Ghent University
- Oak Ridge National Laboratory
- University of Oxford
- NEW YORK UNIVERSITY ABU DHABI
- University College Dublin
- Argonne
- Delft University of Technology (TU Delft)
- International Iberian Nanotechnology Laboratory (INL)
- KTH Royal Institute of Technology
- KU LEUVEN
- National Aeronautics and Space Administration (NASA)
- Technical University of Denmark
- The Ohio State University
- The University of Arizona
- University of Minnesota
- University of North Texas at Dallas
- University of Oxford;
- University of Utah
- Université de montpellier
- Virginia Tech
- 12 more »
- « less
-
Field
-
computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
-
heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
-
material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
-
The predictive simulation will be developed through Finite Element Analysis (FEA) in between LMGC and ICube and LEM3 Labs. Therefore, FEA poro-mechanical simulation experience is a plus (Le Floc’h, et al., 2024
-
finite element analysis and modal analysis techniques. • Experience with vibration analysis, dynamic testing, or mechanical systems characterization. • Proven record of publishing refereed journal articles
-
transformations and also of finite element simulations of shape memory alloys. Physical experiments involve differential scanning calorimetry, thermomechanical testing, and potential nanoindentation of shape memory
-
that captures residual stress build-up in the wing disc. The project will use a finite element framework for forward simulations of prescribed incompatibility fields, as well as inverse reconstruction
-
should have a strong interest in computational mechanics, finite element modelling in particular, as well as in textile materials and should be enthusiastic to work in a collaborative project between
-
mapping and imaging experiments to probe local heat transport and phonon dynamics; Perform finite element modeling (FEM) (e.g., using COMSOL Multiphysics) to simulate thermal transport processes and support
-
for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in