Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e); Published today
- Graz University of Technology
- KU LEUVEN
- Karlsruher Institut für Technologie (KIT)
- Linköping University
- Nature Careers
- University of Birmingham
- University of Groningen
- University of Nottingham
- VSB - Technical University of Ostrava
- 1 more »
- « less
-
Field
-
of automotive engineering. Design, testing, and evaluation of vehicle components and systems. Application of numerical methods (FEM, MBS) to analyze static and dynamic load states. Execution of experimental
-
how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex-based and UV-curable inks. Implement FEM
-
, crop production and plant breeding. A core responsibility will be the rigorous processing, analysis, and interpretation of large and complex datasets and, in collaboration with the FEM research community
-
Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
of refrigerants superelastic shape memory alloys (mechanical, thermal, fatigue life) Modelling, design and characterization of test structures and devices (FEM multiphysics, lumped element modelling) Rapid
-
mechanics, numerical methods (BEM and FEM) computing skills (e.g. C++, Python, ... ) good knowledge of the English language Admission Requirements Engineering diploma (Dipl.-Ing.), Master of science (M.Sc
-
; · Solid background in power electronics and magnetic component design; · Experience with modelling and simulation tools (such as MATLAB/Simulink, FEM software like COMSOL or ANSYS Maxwell
-
, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
-
, or multi-physics simulation. Experience and skills · Ideally 3–5 years of experience (including PhD) in one or more of the following: o Finite Element Modelling (FEM), o Multiphysics
-
skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
-
material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing