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Postdoctoral Research Associate and Graduate Student Openings in Mechanobiology and Biomechanics at UPenn

Submitted by Xingyu Chen on

Several postdoctoral and graduate student openings with primary focus on biomechanics is available immediately in the Shenoy Research Group at the University of Pennsylvania. We are looking for strongly motivated candidates to work on NIH supported projects on a) cell-matrix interactions in fibrosis and cancer and 2) mechanical mechanisms of traumatic brain injury.

PhD Position in manufacturing, characterisation and simulation of composite materials

Submitted by FranciscaMHergueta on

The University of Edinburgh and Williams Advanced Engineering is looking for an enthusiastic PhD candidate to develop novel, lightweight, high-performance composite structures and materials for application within multiple industry sectors.

https://www.williamsf1.com/pages/careers/wae/industrydoctorateprogramme…

Phonons in chiral nanorods and nanotubes: a Cosserat rod based continuum approach

Submitted by Ajeet Kumar on

A Cosserat rod based continuum approach is presented to obtain phonon dispersion curves of flexural, torsional, longitudinal, shearing and radial breathing modes in chiral nanorods and nanotubes. Upon substituting the continuum wave form in the linearized dynamic equations of stretched and twisted Cosserat rods, we obtain analytical expression of a coefficient matrix (in terms of the rod's stiffnesses, induced axial force and twisting moment) whose eigenvalues and eigenvectors give us frequencies and mode shapes, respectively, for each of the above phonon modes.

PhD positions in Control Engineering are available at George Mason University

Submitted by rbighami on

Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA. "Research" The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems.

Modeling Prophylactic Sacral Dressings with Tel Aviv University

Submitted by Ingrid Weber on

The sacrum is the most susceptible anatomical site for developing pressure injuries (PIs), including deep tissue injuries, during supine lying. Prophylactic dressings are generally designed to reduce friction, alleviate internal tissue shear loads, manage the microclimate, and overall cushion the soft tissues subjected to sustained deformations under the sacrum.

Post-doctoral position at the University of Pavia, Italy.

Submitted by Harmeet Singh on

Applications are invited for a post-doctoral position at the University of Pavia, Italy, with Prof. Epifanio Virga (http://matematica.unipv.it/it/people/2026). The proposed research theme is

MATHEMATICAL MODELS FOR ADVANCED SOFT MATERIALS

The call (both in Italian and English) together with the application forms (in both languages, but only one needs to be filled in) can be found at the following addresses:

Architected Lattices for Simultaneous Broadband Attenuation of Airborne Sound and Mechanical Vibrations in All Directions

Submitted by Osama R. Bilal on

Since their inception, more than two decades ago, phononic crystals and metamaterials have led to advanced materials with exceptional acoustic and elastic characteristics, such as negative effective mass and stiffness. In these materials, the dispersion properties and the energy transfer are controlled by selecting the geometry of the lattices and their constitutive material properties. Most designs, however, only affect one mode of energy propagation, transmitted either as acoustic airborne sound or as elastic structural vibrations.

[July 28] USNCCM15 Short Course on Machine Learning Data-Driven Discretization Theories, Modeling and Applications

Submitted by Zeliang Liu on

Dear Colleagues and Friends,

In this short course, we will introduce the participants to the latest efforts on data-driven methods for mechanical and material sciences. The course will cover topics on
1. mechanistic data-driven clustering methods, direct and reduced order modeling techniques,
2. physics-informed neural networks, multi-fidelity Gaussian processes,
3. deep material networks and multiscale material failure analysis.
Some benchmarks on nano-polymer composites, polymer matrix composites, additive manufactured alloys will be demonstrated. For more details, please visit the website, http://15.usnccm.org/sc15-005.