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NSF Program Director: Mechanics of Materials and Structures

Submitted by Siddiq Qidwai on

Dear Applied Mechanics Peers and Friends,

It is that time again. We are looking for one of you brilliant minds to be the next program director of the Mechanics of Materials and Structures (MoMS) program at the National Science Foundation (NSF).

Postdoc openings on Computational Mechanics and Scientific Machine Learning

Submitted by nbouklas on

There are multiple openings for postdoc positions on the intersection of Computational Mechanics and Scientific Machine Learning in the Bouklas Lab (https://blogs.cornell.edu/bouklaslab/) in Cornell MAE.

The work will focus on automated constitutive modeling, solution of PDEs and software development.

 

Postdoc Position | Mechanics of Slender Structures | EPFL | Switzerland

Submitted by Pedro Reis on

We're excited to share the news that we have a Postdoc opening in our fleXLab (Flexible Structures Laboratory) at EPFL in Switzerland. This position is focused on the mechanics of slender structures. We appreciate the unique perspectives that individual research interests bring, so we'll work to align the specifics of the research project with the successful candidate's interests.

A joint #PhD with IIT Ropar and IIT Mandi on Mechanical characterization of discontinuities in material's microstructure

Submitted by hermatician on

#Apply for a joint #PhD with IIT Ropar and IIT Mandi on "Mechanical characterization of discontinuities in material's microstructure "
The brief description is given below.

Opening for Post-Doctoral Associate in Machine Learning for Computational Mechanics

Submitted by rbsills on

The microMechanics of Deformation Research Group (mMOD) in the Department of Materials Science and Engineering at Rutgers University is seeking a Post-Doctoral Associate to perform research as part of an NSF CAREER award project aimed at understanding the fundamentals of fracture in metals. Research tasks will include the development of a machine learning framework for training surrogate models which couples with the finite element method and analyzing large atomistic simulation datasets.

Post-Doc position at MSU - Multi-axis vibrations

Submitted by joodaky on

We are currently seeking a highly motivated candidate for a Post-Doc position in the School of Packaging at MSU. The focus of this position will be on studying the multi-axis vibrations experienced by packages during transportation. This research will involve utilizing various tools and techniques such as a multi-axis shaker, acceleration sled, FEM simulations, nonlinear models, and more. To be considered for this position, the ideal candidate should possess the following qualifications:

Postdoc position available in x-ray characterization of geomaterials at Johns Hopkins University

Submitted by Ryan C. Hurley on

A postdoctoral researcher position is available beginning July 1, 2023 in Professor Ryan Hurley’s laboratory (http://hurley.me.jhu.edu) in the Department of Mechanical Engineering and the Hopkins Extreme Materials Institute at the Johns Hopkins University.

Two PhD positions available at Multiscale Computational Mechanics Lab at Vanderbilt University

Submitted by Caglar Oskay on

We are seeking two doctoral students to join the Multiscale Computational Mechanics Laboratory (MCML) at Vanderbilt University beginning either Fall 2023 or Spring 2024. The research areas span multiscale computational mechanics and computing, and are briefly described below. Candidates must also have a strong general interest (prior experience is a plus) in computational mathematics, mechanics, modeling and simulation and computer programming. 

The specific research areas as follows:

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

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: