Curious to explain Earth and Sea evolution? Have a solid physical/mathematical/mechanical/computational background? You are invited to apply for a funded MSc/PhD/Postdoc position at the Laboratory of Computational Physics in Marine Sciences
Octopus, clingfish, and larva use soft cups to attach to surfaces under water. Recently, various bioinspired cups have been engineered. However, the mechanisms of their attachment and detachment remain elusive. Using a novel microcup, fabricated by two-photon lithography, coupled with in situ pressure sensor and observation cameras, we reveal the detailed nature of its attachment/detachment under water.
We are seeking a postdoctoral researcher to assist us developing strain-rate and structure dependent constitutive model for thermoplastic polymers (PE and TPU) and to understand their interaction mechanism with ceramics (SiC and B4C) for high velocity impact applications using MD simulations. Click here to apply: https://careers.udel.edu/cw/en-us/job/498485/postdoctoral-researcher-po…
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.
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.
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.
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.
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,
Carry out your own PhD project!
in Deformation & Fracture Processes / Tribology / Interface in Metals & Ceramics
supervised by Prof. Peter Gumbsch (Karlsruhe Institute of Technology)
