Skip to main content

Please apply to UT-Austin Engineering Mechanics Graduate Program

Submitted by Nanshu Lu on

UT-Austin Engineering Mechanics Program is well known for its research on experimental mechanics, computational mechanics, fracture mechanics, nano- and micro-mechanics, thin-film mechanics, biomechanics, soft material mechanics, structural dynamics, and so on. We are the home of the International Journal of Solids and Structures (IJSS), International Journal of Fracture, and Computer Methods in Applied Mechanics and Engineering.

Predicting high cycle fatigue life with unified mechanics theory

Submitted by Cemal Basaran on

50 days' free access to the article. Anyone clicking on this link before December 26, 2021 will be taken directly to the final version of the article on ScienceDirect, which they are welcome to read or download. No signup, registration or fees are required

Fully funded PhD positions in computational mechanics and scientific machine learning at University of Minnesota

Submitted by Qizhi He on

Fully funded PhD positions are available in the Intelligent Computational Mechanics Group led by Dr. Qizhi He at the Department of Civil, Environmental, and Geo- Engineering of the University of Minnesota-Twin Cities (UMN). The expected start date is Fall 2022. The successful candidate will work with Dr. He on the research areas that involve Multiscale Materials Modeling, Meshfree Methods, Mechanistic Machine Learning, Data-Driven Computing, and Structural Optimization. Primary research topics include but are not limited to:

Global Composites Expert Webinar by Dr. Anthony M. Waas

Submitted by Wenbin Yu on

cdmHUB invites you to attend the Global Composites Experts Webinar Series. 

Title: A semi-discrete model for progressive damage and failure of fiber reinforced composites. 

Speaker: Dr.  Anthony M. Waas

Time: 11/11, 11AM-12PM EST.

Please go to https://bit.ly/2ZGRTl3 to register for this webinar.


Fellowship in Digital Engineering for Fusion Energy

Submitted by Lee Margetts on

In March 2021, The University of Manchester signed a 10 year collaboration agreement with the UKAEA, resulting in a £15M investment for two new research groups; Digital Engineering and Tritium. I lead the Digital Engineering group. The aim is to build a virtual garage where engineers can try out new designs for fusion reactors more quickly than building full-scale prototypes.

Fully funded PhD studentship in data-driven and physics informed learning of multi-scale mechanics at University of Cambridge

Submitted by BurigedeLiu on
  • The Engineering Department at the University of Cambridge invites applications for a fully-funded PhD position in deep learning / data-driven methods for multi-scale material systems, under the supervision of Dr. Burigede Liu (http://www.eng.cam.ac.uk/profiles/bl377). A fully funded PhD studentship is available which covers the university fees and in addition, a stipend of £14,830 per annum for 3 years, with no nationality restrictions.