Sort by
Refine Your Search
-
Country
-
Employer
- Fraunhofer-Gesellschaft
- NIST
- Politecnico di Milano
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Universitat de Girona
- Blekinge Institute of Technology
- Carnegie Mellon University
- City University of Hong Kong
- Dip. Ingegneria meccanica e aerospaziale-Sapienza Università di Roma
- ETH Zurich
- Estonian University of Life Sciences
- Fondazione Edmund Mach
- KU LEUVEN
- Montana State University
- Politechnika Rzeszowska (The Rzeszow University of Technology)
- Politecnico di Torino
- University of North Texas at Dallas
- University of Texas at Arlington
- Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria dell'Impresa Mario Lucertini
- 9 more »
- « less
-
Field
-
believes in continuous learning and development Have some experience in the use of advanced FEM analysis. This could include experience in ABAQUS, LS-Dyna, Radioss or equivalent software. Able to support
-
application is available at: https://fondazionemach.ilmiotest.it/ Deadline for applications: 11:59 AM CET on July 21, 2026. Fondazione Edmund Mach (FEM) is an internationally-recognized research center, a
-
Duties and responsibilities The main duties of the position include teaching the courses Mobile Machinery, Reverse Engineering, and Simulations (FEM and CFD), as well as carrying out teaching and
-
relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Have some experience in the use of advanced FEM analysis. This could
-
languages; solid background in aerospace structures, structural mechanics and in numerical methods for structural analysis; study, research, or thesis experience in finite element modeling (FEM), thermo
-
solvers, FDTD/FEM, coupled-mode theory, or PDE/ODE solvers) Interest in electromagnetic wave propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python
-
technical drawing, preferably using Autodesk Inventor, as well as the Finite Element Method (FEM), ideally including modal analysis using Abaqus, complements your technical background. Knowledge of Python is
-
models and advanced computational methods, specifically focusing on Finite Element Method (FEM). Be part of change FEM Development: Develop and refine a Finite Element model to simulate the dynamics
-
: •Develop a physics-based baseline time domain model for vibro-acoustic components using FEM/BEM and reduced-order modelling techniques. •Fuse sparse microphone or accelerometer data with model prediction
-
-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM