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machine learning in mechanics

PhD position in Machine Learning and Physical Simulation

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.

nzhang's picture

Multiple PhD openings in Atomistic and Multiscale Computational Mechanics at the University of Alabama

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;

SwarnavaGhosh's picture

Machine-learned prediction of the electronic fields in deformed crystals

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:                               

Lucy Zhang's picture

Postdoctoral position at Rensselaer Polytechnic Institute (RPI)

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 and

WaiChing Sun's picture

Computational/machine learning mechanics Postdoc/PhD position available at Columbia University

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. 

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