At Scuola Superiore Sant'Anna of Pisa, Italy, there are 2 PhD scholarships funded by my ERC Starting Grant ALPS - AI-based Learning for Physical Simulation. In this project, which will start next September, we aim to build algorithms that can learn physical models starting from experimental data.
Journal: Mathematics and Mechanics of Solids
Dear colleagues,
Multiple fully funded PhD positions are available as early as Fall, 2022 in Dr. Ning Zhang’s research group at the University of Alabama (Tuscaloosa). The research work will focus on the mechanical and thermal properties of structural and multifunctional materials.
The research topics include:
(1) Polymer composites;
(2) Medium/High entropy alloys;
(3) Biomaterials;
(4) Machine learning.
Dear Colleagues,
I am writing to share an article titled, "Machine-learned prediction of the electronic fields in a crystal", co-authored by Ying-Shi Teh, Professor Kaushik Bhattacharya and myself. The article is published in the journal Mechanics of Materials. Link to the article: https://doi.org/10.1016/j.mechmat.2021.104070
We are inviting applications for a postdoctoral research associate position to work on an exciting project at the intersection of machine learning, computational mechanics, and materials science.
Applications will be accepted until the position is filled. To apply, send a resume, a cover letter, and contact information for at least three references to des@rpi.edu and zhanglucy@rpi.edu
Dear colleagues,
There is a new opening for one postdoc/PhD student position, to be filled immediately, in my research group in the Department of Civil Engineering and Engineering Mechanics at Columbia University. We are looking for postdocs/PhD in the broad area of computational mechanics. Candidates should have expertise and experience on modeling dynamic responses of path-dependent materials and software development. Our project is specifically focused on applications of machine learning for computational plasticity and damage.
