Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- ;
- ; University of Strathclyde
- Delft University of Technology (TU Delft)
- Linköping University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- RMIT University
- The University of Sydney
- University of Adelaide
- University of Bergen
- 2 more »
- « less
-
Field
-
frameworks like RHEOS software, FEM models and machine learning concepts for large data sets generated will be explored with collaborators. Micro and Nano Engineering This position is embedded within
-
project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN ) at Linköping University, Norrköping campus. It is a
-
required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
-
, scientific assistant and specialist candidate Preferred selection criteria Experience with the use of FEM software such as COMSOL Multipysics and/or Ansys Maxwell Experience in design of electrical machines