The Shields Uncertainty Research Group (SURG) in the Dept. of Civil Engineering at Johns Hopkins University (JHU) and the Computational and Information Sciences Directorate of the U.S. Army Research Laboratory (ARL) are seeking applications for the position of Postdoctoral Fellow. The postdoc will work on a collaborative effort to build novel stochastic simulation-based methodologies for advanced computational uncertainty quantification in hierarchical materials modeling.

Date / Time: Tuesday, June 12, 2018 / 9:00 am - 1:00 pm (optional hands-on until 3:30  pm)

Location: Dassault Systemes Berlin, Germany

Fee: Free-to-attend. Pre-registration is required as places are limited

Register here

Overview

18th U.S. National Congress for Theoretical and Applied Mechanics – Jointly Organized with the Chinese Society of Theoretical and Applied Mechanics

Thursday, June 7: A Career Development Workshop for Ph.D. Students and Postdocs, 4:30 – 6:00 pm. 

The multiplicative decomposition model is widely employed for predicting residual stresses and morphologies of biological tissues due to growth. However, it relies on the assumption that the tissue is initially in a stress-free state, which conflicts with the observations that any growth state of a biological tissue is under a significant level of residual stresses that helps to maintain its ideal mechanical conditions.

Abstract

<p>The 8th International Conference on Engineering Failure Analysis will be held 8-11 July 2018, Budapest, Hungary. We are pleased to announce the oral programme is available to view and download at https://www.elsevier.com/icefa-conference - the ICEFA2018 conference will bring together world-class researchers, users and specialists involved in all aspects of failure analysis and prevention from the fields of mechanical, manufacturing, aeronautical, civil, chemical, corrosion and design engineering.

A new class of algorithms for solving nonlinear structural dynamical problems are derived in the present paper, as being based on optimal-feedback-accelerated Picard iteration, wherein the solution vectors for the displacements and velocities at any time in a finitely large time interval are corrected by a weighted (with a matrix) integral of the error. We present 3 approximations to solve the Euler-Lagrange equations for the optimal weighting functions; thus we present 3 algorithms denoted as Optimal-Feedback-Accelerated Picard Iteration (OFAPI) algorithms-1, 2, 3.

A postdoc position is available in the area of computational mechanics, in particular, granular mechanics and discrete element modeling (DEM), in support of a Department of Energy-funded research project on Integrated Process Optimization for Biochemical Conversion. This is a multidisciplinary research project with collaborations between multiple academic institutions and the DOE's Idaho National Laboratory.

We are looking for a self-motivated PhD student to study Machine Learning enabled computational models for applications in Biomedical Imaging and Multi-Scale Material Modeling. 

This project will draw ideas from various subjects including Computational Mechanics, Machine Learning and Materials Physics. This is a collaborative project between MTU and University of Wisconsin, Madison. 

The candidate would have access to the advanced computing facilities, collaborations with researchers in other universities, and experimental collaborations. 

The Department of Engineering at Aarhus University has a number of open positions as Assistant Professor (tenure track) or Associate Professor at the Section of Mechanical Engineering. The University seeks innovative and visionary engineers/researchers capable of developing the research in Mechanical Engineering.

The positions are available from October 1, 2019 or as soon as possible hereafter.

Research focus