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: Course number and title:MIE410H1 - Finite Element Analysis in Engineering Design Course description: Finite Element Method (FEM) is a very powerful numerical tool that has a wide range of applications in a
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have an excellent PhD in biomechanics (or a related discipline), possess a solid knowledge of non-linear finite element modelling, have a strong experience in developing and validating patient-specific
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and accelerated brain aging by coupling mechanics and neurobiology to create multiphysics-informed predictive models of brain health. Specifically, our approach combines finite element modelling and
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areas of applied mechanics and finite element analysis. There will also be a requirement to contribute to the delivery of other appropriate modules as deemed necessary. The post is ‘fixed term’ for one
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of SPSs, and existing commercially available techniques, e.g. finite elements modelling. The modal method will be exploited to gain insight into the governing physics of the light extraction, whereas
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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Experience with the use of Finite Element Methods in modelling acoustic problems (assessed at: Application form/Interview) Essential Application and Interview Experience with Python or Matlab or any other
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demonstrate these in their application materials Familiarity with numerical methods for PDEs (e.g., finite difference or finite element methods) Experience with tissue simulations and/or HPC is a plus Interest
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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implications of this damage for the subsurface flow of fluids and the transport of radionuclides. The work will make extensive use of the Imperial College Geomechanics Toolkit (ICGT), a finite-element based