Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Nature Careers
- Technical University of Denmark
- CNRS
- Carnegie Mellon University
- Istituto Italiano di Tecnologia
- UNIVERSITY OF SOUTHAMPTON
- University of Luxembourg
- Aalborg Universitet
- Ecole Centrale de Lyon
- Fraunhofer-Gesellschaft
- Heriot Watt University
- Instituto de Engenharia Mecânica
- Nanyang Technological University
- National Institute of Research and Development for Electrochemistry and Condensed Matter
- National Renewable Energy Laboratory NREL
- Technical University of Munich
- Texas A&M University
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Copenhagen
- University of Oxford
- University of Southampton;
- University of Utah
- Vrije Universiteit Brussel
- 13 more »
- « less
-
Field
-
Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
analysis of parameterized finite‑element models. By integrating data‑driven and FEM‑based approaches, a hybrid model is developed that accurately represents physical relationships while providing real‑time
-
Engineering Design and Optimization Human Factor and Ergonomics AI-based Sensor Fusion Monitoring and Inspection using various sensors Optimization and control to implement sensors. Skills: FEM software (Comsol
-
to structural concrete and cement products Strong background in construction materials Ideally, you have experience or interest in: Concrete material behaviour and testing Nonlinear FEM Combining laboratory
-
against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
-
aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
-
or interest in: Concrete material behaviour and testing Nonlinear FEM Combining laboratory, analytical and numerical research Language Requirements: Applicants must demonstrate at least B2-level proficiency in
-
discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility
-
to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dim. problems, classical (mainly finite elements, FEM) as well as alternative discr. meth. (e.g., Lattice Boltzmann
-
media computational electromagnetic modelling Strong computational skills and experience with electromagnetic modelling methods including FDTD, FEM, and RCWA are essential as well as experience in
-
experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM