Post-Doc in “Scientific Machine Learning and Mechanics for scale-bridging in granular materials”

The appointment is part of the Chair AIM: Artificial Intelligence and Mechanics for scale bridging in complex materials (https://project.inria.fr/aimechanics/). The research will be conducted at Université Grenoble Alpes | Inria (https://www.inria.fr).
We are looking for an excellent candidate in applied mathematics, scientific computing, and computational mechanics to carry fundamental developments in data-driven and machine learning for the discovery of robust and accurate models of granular media. The position provides the opportunity to work on a challenging research topic at the crossroad of AI, physics, and mechanics.

For further information, see the attached [PDF].

Leave a Reply

Your email address will not be published. Required fields are marked *