Elio Sacco segnala la seguente posizione di dottorato presso la RWTH Aachen University (Germania).

We are urgently looking for a new PhD student for the Project XS-Meta ESR 5: Multiscale modeling of metamaterials.

XS-Meta is an Innovative European Training Network project, which involves 11 interdisciplinary partners from 7 different countries. The project deals with the material-structure design of high-technology structural systems, using functionally graded 3D-printed metamaterials. Thus, the use of the metal 3D printing technology should enable a change in paradigm in engineering structural design to develop a new generation of high-performance components. Therefore, XS-Meta addresses the problem at different scales, from the microstructure to the continuum-based engineering design of industrial components.

The objectives of our project are (1) the development of a homogenization RVE framework to extract the homogenized metamaterial properties applied to different discrete unit cell metamaterials; (2) the development of surrogate models equivalent to the RVE behavior; (3) the incorporation of that framework in FEM software and the analysis of different metamaterial families.

Our job advertisement is addressed to students in the field of mechanics,

• who have not spent more than 12 months in Germany in the last 3 years. This excludes holidays and people with refugee status;
• whose master‘s degree was obtained no longer than 4 years ago.

Further details on the scientific program and additional information can be found under the following link:

https://euraxess.ec.europa.eu/jobs/655416

We would be very grateful if you could forward the job advertisement to interested students.

Thank you very much and with best regards,

Stefanie Reese
Tim Brepols
Johanna Waimann

Alberto Salvadori segnala la posizione di dottorato “Modeling and simulations of mechanical degradation in Li-ion batteries” presso UNIBS in collaborazione con un importante centro di ricerca internazionale.

Per ulteriori dettagli consultare l’allegato adv o il sito internet: https://m4lab.unibs.it/Li-ion.html