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Modelling and Simulation in Mechanics and Materials – (Ph.D.)

Cardiff University

Cardiff School of Engineering
Location: Cardiff / United Kingdom / View location on map ▾ Hide location on map ▴
Duration: 36 months
Educational Form:
  • Academic PhD
Education Variants:
  • Fulltime
Location flexibility:
  • Primarily at University
Project type:
  • Open PhD programme
Languages: English 
-3.179851,51.489018

Location of Cardiff University

The mission of the Institute is to develop, validate and verify reliable models alongside robust, accurate and efficient simulation tools to describe and understand complex non-linear systems, both natural and engineered, on a wide range of spatial and temporal scales, with an emphasis on advanced materials and structures.

In order to address this challenge, the vision of the world-class team of theoretical and computational mechanics researchers in the Institute is to, over the next 5 years:

* Develop novel approaches to model and simulate systems from the atomistic to the continuum level with a special emphasis on multiscale fracture, contact, friction and adhesion
* Consolidate the development of advanced discretisation techniques to tackle non-equilibrium problems involving moving discontinuities, singularities and strong topological changes (extended and generalized finite elements, meshless/meshfree methods, lattice and molecular dynamics)
* Construct solution algorithms capable of handling very large non-linear (eigenvalue) problems with controlled computational cost
* Focus on multi-phase, multi-scale and multi-field materials, in particular: (bio)composites, nano/micro-electronics materials
* Propose real-time and interactive simulation tools for computational steering and surgical simulation through e.g. model order reduction algorithms
* Study Nature to inspire the design of new materials and structures
* Investigate novel approaches to achieve predefined accuracy levels for highly non-linear problems
* Develop novel algorithms, sustainable and open-source software with professional developers to harness the soaring computing power available for massively parallel simulations to prepare for exascale computing (2017).


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Requirements

Suitable for graduates in civil or mechanical engineering, physics or mathematics.

Additional Requirements

Minimal degree required: Master's degree
Minimal amount of work experience Not specified

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