Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Carnegie Mellon University
- NIST
- University of Birmingham
- Aalborg University
- CNRS
- Chalmers University of Technology
- FAPESP - São Paulo Research Foundation
- Nature Careers
- Technical University of Denmark
- Aalborg Universitet
- Aix-Marseille Université
- DAAD
- KU LEUVEN
- NTNU - Norwegian University of Science and Technology
- University of Sheffield
- University of Utah
- AALTO UNIVERSITY
- AGH University of Krakow
- Aridditive
- Blekinge Institute of Technology
- CiTD Aerópolis
- City University of Hong Kong
- Columbia University
- ETH Zürich
- Gdańsk University of Technology
- Graz University of Technology
- Heriot Watt University
- IMT Atlantique
- INESC TEC
- Illinois Institute of Technology
- Imperial College London
- Imperial College London;
- Instituto de Engenharia Mecânica
- LNEC, I.P.
- Lunds universitet
- MUR
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- National Institute of Research and Development for Electrochemistry and Condensed Matter
- National Renewable Energy Laboratory NREL
- Poznan University of Technology
- Rochester Institute of Technology
- The California State University
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- UNIVERSIDAD POLITECNICA DE MADRID
- Ulster University
- Universidade de Coimbra
- University of Birmingham;
- University of Miami
- University of Minnesota
- University of Oxford
- University of Oxford;
- University of Texas at Arlington
- University of the Incarnate Word
- Vrije Universiteit Brussel
- 46 more »
- « less
-
Field
-
Materials, Finite Element Modelling (FEM) Impact Engineering High‑Rate Experimental Mechanics AI-assisted surrogate modelling
-
, preferably involving fluid mechanics and/or microstructure related simulations. Experience with numerical simulations based on the finite element method (FEM) or the finite volume method (FVM). Experience with
-
approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a plus. Experience applying artificial intelligence and machine learning
-
element Method (FEM) simulations (piezoelectrics and acoustics) Discrete electronic design (Analog and digital design using COTS, schematic and layout design, microcontroller programming, PCB prototyping
-
experience related to the position Experience leading end-to-end development of microfluidic or micro-manufactured devices: design (CAD/CAM), analysis (FEM), fabrication, and assembly/sealing of small-scale
-
behavior of these components will be developed based on Finite Element Methods (FEM) complemented by Machine Learning models. Legislation and Regulations: Statute of Scientific Research Fellow, approved by
-
using both classical and finite element methods (FEM). Review detailed part or assembly definition prior to production release. Examine structural or material discrepancies and create associated
-
, anisotropic conductive film bonding and wire bonding Finite element Method (FEM) simulations (MEMS, Electro-static and Quasi-static simulations) Discrete electronic design (Analog and digital design using COTS
-
physics conundrums. Key Duties & Responsibilities Use of CAD design software and waveguide FEM solver Working with and testing anti-resonant, capillary and solid-state fibers Building and troubleshooting
-
. FEM, CFD) start to “pile up”, rarely being ever used after they have served their purpose. These models can be also seen in the context of product life cycle, i.e. a product going through ideation