Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- ;
- California Institute of Technology
- University of Dayton
- Auburn University
- CSIRO
- Chalmers University of Technology
- Cranfield University
- Florida International University
- Los Alamos National Laboratory
- NIST
- Nature Careers
- TTI
- Technical University of Denmark
- University of Glasgow
- University of Miami
- University of Sheffield
- University of Texas at Arlington
- University of Texas at Austin
- University of Texas at El Paso
- University of Toronto
- Western Norway University of Applied Sciences
- 13 more »
- « less
-
Field
-
printing, rapid prototyping, Finite element analysis (FEA), Multiphysics analysis, Design for composite materials, material science Preferred skills/experience areas include: Finite element analysis
-
characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
-
undergraduate and graduate students. Essential Functions Engineering design and structural analysis, sizing calculations, finite element modelling, and official engineering documentation in support of various
-
. Assets (Nonessential): Experience with FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics). Excellent skills with Solidworks, Inventor, and/or Siemens NX, or other solid modelling software
-
aluminium in high-value products produced by mega-casting. The main objective of the PhD project is to develop a finite element analysis (FEA) framework that can accurately predict the mechanical properties
-
automotive lightweighting, we are seeking a Senior Lightweight Design and Simulation Engineer with advanced skills in Finite Element Modelling (FEM) and Topology Optimization. This position focuses
-
, or a closely related field with expertise in one or more of the following areas: Finite element methods for partial differential equations Multiscale numerical methods Flow and transport in porous
-
advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics, which are utilized
-
universities. Experience in effective student mentoring. Dedication to ensuring a respectful, equitable and inclusive work environment. Experience with finite element analysis and design optimization preferred
-
by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid