Blog posts

Postdoc Position in Dynamic Fracture of Materials at Czech Technical University in Prague

Submitted by jirda on Wed, 05/24/2023 - 10:48

Postdoctoral Research Assistant in Dynamic Fracture of Materials

We are seeking a highly talented and motivated researcher to work within our strong research group “Dynamics of material fracture” oriented at experimental and numerical investigation of mechanical response and failure of materials at high strain rates. This post is based in Prague, Czech Republic and is available for 2 years.

The detailed description how-to apply for the position and the application form can be found here:

Discussion of fracture paper #37 - A Novel Approach Improving Mode I+III Cohesive Zone Modelling

Submitted by ESIS on Tue, 05/23/2023 - 10:49

The advantage of simplicity is that mechanics and physics can be understood and predicted just by using pen and paper. In the end, numerics may have to be used but then you should already have a pretty good idea of what happens. The other way around, starting with numerics and a limited toolbox of models will seldom lead to anything new.

Funded Ph.D. Position at Imperial College London: Composite materials in extreme environments

Submitted by Gustavo Quino on Mon, 05/22/2023 - 20:19

#phd #Job #composites

Imperial College London

Departments of Aeronautics

PhD Studentship

Composite materials in extreme environments

Applications are invited for a Ph.D. studentship in the Departments of Aeronautics. The successful candidate will have the opportunity to conduct cutting-edge research in the field of composite materials.

Postdoc Position in in situ SEM mechanical testing at Johns Hopkins University

Submitted by Jaafar El-Awady on Mon, 05/22/2023 - 17:50

#postdoc #micromechanics #job

I have an open postdoc position with focus on in situ SEM testing coupled with laser interferometry to characterize crack initiation in complex alloys. The applicant is expected to have strong background in mechanics of alloys and has expertise with in situ SEM testing. Strong hands-on experiences in budling/designing new experiments and/or experiences with lasers would be a strong plus.

Ph.D. Position at NJIT, New Jersey in Computational Nanomechanics/Materials

Submitted by Dibakar Datta on Sun, 05/21/2023 - 23:19

The Department of Mechanical and Industrial Engineering (http://mie.njit.edu) at the New Jersey Institute of Technology (http://www.njit.edu) has an opening for a fully funded Ph.D. position. The position will start in Fall 2023/Spring 2024. Interested candidates should apply as soon as possible. Email: dibakar.datta [at] njit.edu

Order Parameter Engineering for Random Systems

Submitted by SwarnavaGhosh on Sun, 05/21/2023 - 23:13

research

high entropy alloys

"Order Parameter Engineering for Random Systems" published in High Entropy Alloys and Materials

Abstract:

Uncovering stress fields and defects distributions in graphene using deep neural networks

Submitted by Nuwan Dewapriya on Sat, 05/20/2023 - 17:36

generative adversarial networks

molecular dynamics

In our latest article, “Uncovering stress fields and defects distributions in graphene using deep neural networks”: https://doi.org/10.1007/s10704-023-00704-z , we showed that conditional generative adversarial networks (cGANs) could transform complex deformation fields into stress fields by eliminating the need to evaluate elasticity distributions and develop complex nonlinear constitutive relations.

Two Funded Ph.D. Positions at the University at Buffalo: Scientific Machine Learning and Predictive Modeling in Materials and Tumor Growth

Submitted by danialfaghihi on Fri, 05/19/2023 - 17:33

job

# Finite Element modeling; #machinelearning; #computational mechanics; #uncertainty quantification

Two fully supported Ph.D. positions are open in Predictive Computational Engineering (PCE) Research Lab at the University at Buffalo for research in advanced computational modeling and algorithms, scientific machine learning, and uncertainty quantification.

Research Areas:

Position 1: Image-Guided Personalized Radiotherapy Optimization for Tumor Growth

Position 2: Integrated Physics-Based and Machine Learning Models for Material Design

Requirements:

Prof. Huajian Gao elected FRS

Submitted by Mike Ciavarella on Fri, 05/19/2023 - 09:21

Eighty outstanding researchers, innovators and communicators from around the world have been elected as the newest Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.