Phd positions are now open for a research project “Computational Characterization, Testing and Design of Carbon Fiber Based Polymer Matrix Composites”. The project is supported by the Sofja Kovalevskaja Prize of the Alexander von Humboldt Foundation. Applicants considering their interests, skills and backgrounds will be placed on different tasks of the project including: Models for PMC at Different Length Scales and Multiscale Methods; Sensitivity Analysis (SA) and Uncertainty Quantification; Probabilistic Optimization over Multiple Lengths scales and Validation and Computational design of PMC.
Description
Prerequisites:
• Majors of academic degrees obtained in mechanics, computational engineering or materials sciences
• Proficiency in English communications both written and spoken English
• Good skills in programming, preferably in FORTRAN and/or C++, matlab or python
• Knowledge in LAMMPS; knowledge in ABAQUS is useful as well
• Applicants with one or several of the following research experiences are preferred: multiscale methods, molecular dynamics, multifield modelling, computational methods for fracture, sensitivity analysis, uncertainty analysis, optimization
Research Fields
Engineering - Mechanical engineering
Engineering - Materials engineering
Physics - Computational physics
Further details:
http://ec.europa.eu