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Postdoctoral positions at McMaster University

Submitted by Blaise Bourdin on
I am looking for several year postdoctoral fellows to join my research group on variational phase-field models of fracture at McMaster University. 
  • One position deals with the coupling of diffusion equations and phase-field fracture, with the target application being corrosion stress cracks. This position is to be filled not later than the end of 2022.
  • Another position deals with advanced numerical schemes for phase-field fracture.

Exciting new vacancy - MatchID US subsidiary

Submitted by Fabrice Pierron on

Given our substantial growth over the past few years, MatchID deems the time right to expand our horizon and evolve from a spin-off towards a truly international scaled-up company. To that purpose we will establish a US subsidiary that will not only give us a local physical presence, but also help convey more directly our philosophy to potential customers for a widespread range of applications and market verticals.

PhD position available on "AGRIVOLTAICS: INTEGRATED STRUCTURAL OPTIMIZATION AND DATA ANALYTICS FOR DECARBONIZATION AND SMART AGRICULTURE"

Submitted by StefanoMariani on

A funded PhD position in Civil Engineering is available at Politecnico di Milano on the topic “AGRIVOLTAICS: INTEGRATED STRUCTURAL OPTIMIZATION AND DATA ANALYTICS FOR DECARBONIZATION AND SMART AGRICULTURE”; a brief account of motivation and objectives, and of methods and techniques to develop are reported below.

Interested people are requested to urgently contact Stefano Mariani at stefano.mariani [at] polimi.it (stefano[dot]mariani[at]polimi[dot]it)

Full-Time Position in Schlumberger - Modeling and Simulation Engineer – FEA

Submitted by Haitao Zhang on

 

Title: Modeling and Simulation Engineer

Category: Full-time position in industry

Employer: Schlumberger Technology Corporation

Location: United States, Texas, Sugar Land

Opening Date: 09/01/2022

 

Intro

MIT Short Course: Machine Learning for Materials Informatics (Live Virtual, Sept. 26-29, 2022)

Submitted by Markus J. Buehler on

In this course you will fully learn how to incorporate new materials informatics methods into your own material modeling, analysis and design processes in order to capitalize on recent AI breakthroughs, such as language models (e.g. GPT-3, BERT, LaMDA, etc.), DNA and protein models (e.g., AlphaFold), graph neural networks applied from molecular to macroscale structures, and a host of methods adapted for computer vision including diffusion models (as used in DALL-E 2 or Imagen), specifically for the analysis, design and modeling of materials. The course involves a mix of lectures, hands-on labs and clinics for an immersive experience. Participants will learn fundamentals and techniques to deploy machine learning in materials development and gain first-hand understanding of state-of-the art tools for varied applications ranging from data mining to inverse design. We will cover scales from the molecular to the continuum.

Article: Hydrodynamic Interaction Between Two Flexible Finite Length Coaxial Cylinders: New Theoretical Formulation and Numerical Validation

Submitted by lagrangr on

This article addresses the interaction of two coaxial cylinders separated by a thin fluid layer. The cylinders are flexible, have a finite length, and are subject to a vibration mode of an Euler–Bernoulli beam. Assuming a narrow channel, an inviscid and linear theoretical approach is carried out, leading to a new simple and tractable analytical expression of the fluid forces.