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PhD position on machine learning enhanced multi-scale modelling of textile composites at the University of Gothenburg

We have an open PhD position on machine learning enhanced multi-scale modelling of textile composites. The following link provides more information about the project, and the details of the application process. Please keep in mind that only applications sent through the online application system will be evaluated.

Description of the PhD project, and how to apply

 

PhD vacancy (4 years) on multi-scale fatigue damage modelling of unidirectional fibre-reinforced composites @ Ghent University (Belgium)

The core idea of this fundamental research project is to develop a consistent multi-scale modelling framework for fatigue damage in unidirectionally reinforced composites. Three scales are distinguished: (i) the micro-scale, where individual fibre filaments are arranged in a polymer matrix.

Postdoc position on multi-scale modelling of composites vibration response @ Ghent University (Belgium)

Nowadays, there is an increasing interest to use composite materials in automotive applications, in particular the use of fibre-reinforced plastics (carbon or glass fibres in a polymer matrix) is widely considered. The use of lighter materials, and hence a reduced fuel consumption, can be one of the possible solutions for reduced CO2 emissions.

PhD position on multi-scale modelling of fatigue damage in composites @ Ghent University (Belgium)

The core idea of this project is to develop a consistent multi-scale modelling framework for fatigue damage in unidirectionally reinforced composites. Three scales are distinguished:

Postdoc in multi-scale modelling of composites vibration response @ Ghent University (Belgium)

Nowadays, there is an increasing interest to use composite materials in automotive applications, in particular the use of fibre-reinforced plastics (carbon or glass fibres in a polymer matrix) is widely considered. The use of lighter materials, and hence a reduced fuel consumption, can be one of the possible solutions for reduced CO2 emissions.

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