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numerical PhD Projects, Programs & Scholarships

We have 289 numerical PhD Projects, Programs & Scholarships

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  Numerical modelling and analysis of multiphase flows based on machine learning
  Dr K Yokoi
Application Deadline: 19 April 2019
The project aims to develop numerical framework which can be applied to various multiphase flow problems (gas-liquid, gas-liquid-solid, etc.) in engineering and scientific research fields such as energy, environment and manufacturing.
  Adaptive numerical algorithms for PDE problems with random input data
  Dr A Bespalov
Applications accepted all year round
PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with uncertainty in input data.
  Structure preserving numerical methods for fluid-structure interactions
  Dr H Alemi Ardakani, Prof J Thuburn
Application Deadline: 13 May 2019
The University of Exeter EPSRC DTP (Engineering and Physical Sciences Research Council Doctoral Training Partnership) is offering up to 4 fully funded doctoral studentships for 2019/20 entry.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round
PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  A Numerical Study of Diffusive Predator-Prey System with Autotaxis and Non-linear Convection
  Dr N Petrovskaya
Applications accepted all year round
This project will apply advanced numerical methods to study a real-world ecological problem of high theoretical and practical importance, such as mechanisms of spatiotemporal pattern formation in ecological communities.
  Matching covariance kernels to numerical models in Gaussian process emulation. PhD Mathematics
  Prof P Challenor
Application Deadline: 13 May 2019
The University of Exeter EPSRC DTP (Engineering and Physical Sciences Research Council Doctoral Training Partnership) is offering up to 4 fully funded doctoral studentships for 2019/20 entry.
  Adaptive Numerical Algorithms for Forward UQ in Time-Dependent CFD.
  Dr C Powell, Prof D Silvester
Applications accepted all year round
Uncertainty quantification (UQ) is a rapidly-evolving field, incorporating several traditional mathematical disciplines.
  An investigation into Soft Tissue Biomechanics Using Computational Fluid Dynamics
  Dr M Lappa
Applications accepted all year round
Aim of the present project is the modelling and numerical simulation of soft-tissue growth in rotating bioreactors and related morphological evolution.
  Numerical modelling of soil/structure interactions related to shallow urban environments
  Prof D N Chapman
Applications accepted all year round
Assessing the condition of shallow buried urban infrastructure is challenging, e.g. buried pipes. However it is often the ground that supports this infrastructure that is key to its long-term performance.
  Theoretical analysis of numerical schemes for stochastic (partial) differential equations
  Dr E Issoglio
Applications accepted all year round
The theory and numerics of stochastic differential equations (SDEs) are well understood in the context of equations with `regular’ coefficients.
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