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PhD position at the Technical University of Denmark (DTU) in solid mechanics and fracture mechanics of composite materials

Submitted by Bent F. Sørensen on

We have an open position as a PhD student in the area of fracture mechanics of fibre composites. The focus of the position is to develop element test specimens, i.e., test specimens that are purposely-designed with the aim of checking the accuracy of model predictions of damage evolution (two or more damage types) in composite structures subjected to static and cyclic loading

Postdoctoral positions in Granular Mechanics at Northwestern University

Submitted by gbuscarnera on

Applications are invited for two postdoctoral positions in the Geomechanics Group led by Dr. Buscarnera at Northwestern University. Both positions focus on the multi-scale behavior of granular solids, with one emphasizing numerical and theoretical modeling of the particle-continuum duality and the other emphasizing the experimental study of particulate materials through advanced characterization protocols. Competitive salary, exposure to a dynamic international academic environment and opportunities for professional development will be essential elements of the employment conditions.

Exceptional-point-based accelerometers with enhanced signal-to-noise ratio

Submitted by Ramathasan The… on

Exceptional points (EP) are non-Hermitian degeneracies where eigenvalues and their corresponding eigenvectors coalesce. Recently, EPs have attracted attention as a means to enhance the responsivity of sensors, through the abrupt resonant detuning occurring in their proximity. In many cases, however, the EP implementation is accompanied by noise enhancement, leading to the degradation of the sensor’s performance.

Postdoc/PhD metamaterials and machine learning - Northwestern Univ.

Submitted by Horacio Espinosa on

Description

Applications are invited for a two-year appointment as Postdoctoral Research Associate in metamaterials and ML at the Micro and Nanomechanics Lab, Northwestern University. The candidate will conduct research in the area of mechanics of metamaterials and will be expected to contribute to experimental and computational efforts within a vibrant multidisciplinary research group and closely collaborate with groups in the Materials Science and Chemistry Departments.

Requirements:

Postdoc position at University of Parma - ITALY

Submitted by Roberto Brighenti on

A 1-year long postdoc position (starting approximately from October 1st, 2022) is available at Univ. of Parma, ITALY

on the topic: "Multiphysics modeling of piezoelectric polymers".

The candidates must hold a Ph.D. degree and must have deep expertise and experience in theoretical and numerical modeling 

of the mechanics and physics of polymers.

 

If you are interested, please contact urgently the responsible of the project,

Prof. Roberto Brighenti

Soft Science Webinar: Prof. John A. Rogers (8 am, 08/12/2022 New York)

Submitted by Jizhou Song on

Topic: Soft Electronic and Microfluidic Systems for the Skin
Time:  8:00 AM, 12 August, 2022 (New York)
           8:00 PM, 12 August, 2022 (Beijing)
         10:00 PM, 12 August, 2022 (Sydney)
           1:00 PM, 12 August, 2022 (London)
Speaker: Prof. John A. Rogers

A coupled phase field formulation for modelling fatigue cracking in lithium-ion battery electrode particles

Submitted by Emilio Martíne… on

Dear iMechanicians - I hope this is of interest. We develop a model for predicting fatigue cracking in lithium-ion battery electrode particles. Existing models were limited to simulating one half charge cycle. 


Journal of Power Sources 544, 231805 (2022)

Postdoc position at the Physical AI (PAI) Lab

Submitted by Aslan Miriyev on

The PAI Lab is seeking a Senior Postdoc for a fully funded position (work location in Israel).
As a senior postdoc in the PAI Lab, you will lead multidisciplinary research toward creating soft robotic systems possessing physical AI. Specifically, you will work at the nexus of functional matter, processing, design, and manufacturing to develop material-based actuator-sensor-control loops for soft robots with learning-based control.