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Ph.D. and/or postdoctoral positions in mechanics theory and experiment

Submitted by jhanna on

 Applications are invited for Ph.D. (Spring or Fall 2022) and/or postdoctoral (ASAP) positions in the group of J. Hanna in Mechanical Engineering at the University of Nevada, Reno.  We are a theoretically oriented group that also engages in experimental work, with broad general interests in classical mechanics and applied geometry (see cmag.neocities.org ).  We are fully in-person-operational.

Possible topics include:

EML Webinar (Season 2) on 13 October 2021 by Alain Goriely on dynamics of active filaments

Submitted by Teng Li on

EML Webinar (Season 2) on 13 October 2021 will be given by Alain Goriely on dynamics of active filaments. Discussion leader:Krishna Garikipati, University of Michigan

Time: 10 am Boston, 3 pm London, 10 pm Beijing on 13 October 2021

Zoom Link: https://ter.ps/EMLWebinarS2

UC Berkeley: Two Active Searches for Tenure-Track Hires in Mechanical Engineering

Submitted by oliver oreilly on

Dear Colleague,

I would be most grateful if you could advertise and promote the exciting news that the Department of Mechanical Engineering at UC Berkeley is currently seeking applications for a pair of tenure-track faculty positions: 

PhD positions: Data-driven approaches in solid mechanics

Submitted by Laura De Lorenzis on

The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking two doctoral students for a project on data-driven approaches in solid mechanics. The positions are funded by a recently awarded SNF Grant of Prof. Laura De Lorenzis.

Journal Club for October 2021: Mechanobiology and Mechanomedicine: tuning the tension in the life

Submitted by bhji on

 

Mechanobiology and Mechanomedicine: tuning the tension in the life

 

Baohua Ji (bhji [at] zju.edu.cn)

Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027

 

Abstract

How Can Machine Learning Help Composites Modeling?

Submitted by Wenbin Yu on

Our views on how one can leverage machine learning techniques to help constitutive modeling of composite materials are summarized in this paper

Xin Liu, Su Tian, Fei Tao and Wenbin Yu, A review of artificial neural networks in the constitutive modeling of composite materials, Composites Part B, vol. 224, 2021,109152. 

https://www.sciencedirect.com/science/article/pii/S1359836821005321.

4 year PhD scholarship available at the BioEngineering lab - University of Seville (Spain)

Submitted by jsanz on

Summary of the project: The main goal of the research project is to develop an in vivo, ex vivo and in silico platform to provide an enhanced understanding of changes in bone mechanobiology during osteoporotic distraction osteogenesis and fracture healing.