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Postdoctoral Researcher -- Machine Learning Modeling of Composites (at the Univ. of Delaware Center for Composite Materials)

Submitted by zubaexy on

We are seeking a postdoctoral researcher to develop the machine learning framework for glass fiber-matrix interphase considering wide range of resins and sizing chemistry; variability in interphase topology – monolayer versus multi-layer sizing; and pressure/temp/strain rate effects. Input data for the machine learning should be generated from all-atom and/or coarse-grain (CG) MD simulations.

Postdoctoral Researcher -- Machine Learning Modeling of Composites (at the Univ. of Delaware Center for Composite Materials)

Submitted by zubaexy on

We are seeking a postdoctoral researcher to develop the machine learning framework for glass fiber-matrix interphase considering wide range of resins and sizing chemistry; variability in interphase topology – monolayer versus multi-layer sizing; and pressure/temp/strain rate effects. Input data for the machine learning should be generated from all-atom and/or coarse-grain (CG) MD simulations.

Postdoctoral Researcher -- Multiscale Modeling at University of Delaware Center for Composite Materials

Submitted by zubaexy on

We are seeking a postdoctoral researcher to conduct nano-mechanical to micro-mechanical modeling of UHMWPE fibers and [0/90] sub-laminates in predicting the continuum properties for unidirectional and [0/90] sub-laminates. Conduct meso-mechanical and continuum modeling of transverse impact on soft-ballistic and hard-ballistic armor pack. Conduct parametric simulations in LS-DYNA using a usermat umat41. Validate all computational predictions with experimental measurements.

Funded PhD position in UK - Computational Modelling of Multiaxial Overloads

Submitted by castellgm on

A fully funded PhD position in computational materials is available at Cranfield University (UK) to study the effects of multiaxial overloads on cracks. The candidate will develop substructure-sensitive crystal plasticity models validated at multiple scales to understand the local response at cracks. The position offers a dynamic research environment and the opportunity to work closely with researchers developing computational models and performing experiments.

Application deadline 25th April 2022.

For further information and to apply visit, 

Hector Fellow Academy! Carry out your own PhD project!

Submitted by Hector Fellow … on

 

Carry out your own PhD project!

in Deformation & Fracture Processes / Tribology / Interface in Metals & Ceramics

supervised by Prof. Peter Gumbsch (Karlsruhe Institute of Technology)

 

Postdoc position at Arizona State University: Phase-field modeling of multicomponent steel microstructures

Submitted by Kumar Ankit on

A Postdoctoral Associate position is available starting Fall 2022 in my group at the Arizona State University, Tempe. The suitable candidate will have a background in phase-field modeling and/or knowledge of machine learning as relevant for materials science and engineering. Knowledge of the Physical Metallurgy of steel microstructures is a plus. A doctoral degree or equivalent in materials science, metallurgical engineering, physics, computer engineering, or similar fields is preferred.

6th Serbian-Greek Symposium on “Current and Future Trends in Mechanics”

Submitted by GEStavroulakis on

Within the HSTAM 2022 Conference https://hstam2022.eap.gr/home/

  • Patras, Greece on August, 24-27, 2022

Co-chairmen of the Symposium

  • Professor N. D. Filipovic, President of SSM
  • Professor G.E. Stavroulakis, President of HSTAM

https://hstam2022.eap.gr/special-sessions/

Serbian Society of Mechanics

Potential job opening (full time) at Intel

Submitted by Li Han on

There is a potential full-time job opening at senior (Ph.D required) or junior (Master required) engineer level at Intel Oregon Materials Labs. As a Materials Analysis Engineer, the candidate will be part of Technology Development Labs responsible for identifying and developing materials, thermal mechanical characterization and failure analysis techniques in support of Intel's next generation silicon process development.