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Applied Mathematics (computational engineering) PhD Projects, Programs & Scholarships

We have 83 Applied Mathematics (computational engineering) PhD Projects, Programs & Scholarships

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  Nonlinear mechanics of soft solids undergoing large deformation
  Dr P Saxena
Applications accepted all year round

Funding Type

PhD Type

Background. Solid materials that can undergo large deformations are ubiquitous in nature and are widely used to manufacture engineering components.
  Evolutionary algorithms for engineering applications: developing computational methods and optimisation frameworks to solve engineering optimisation problems
  Research Group: Mechanical and Process Engineering
  Dr JP Li
Applications accepted all year round

Funding Type

PhD Type

This highly multidisciplinary PhD project will develop computational methods and optimisation frameworks to solve engineering optimisation problems.
  PhD Case studentship in Advanced Computational Fluid Dynamics (CFD) analysis of Chemical Biological Radiological and Nuclear (CBRN) Canisters in new generation respirators
  Prof N Chakraborty, Dr A Aspden
Application Deadline: 15 November 2019

Funding Type

PhD Type

Number of awards. 1. Start date and duration. January 2020 for .3.5 years. Overview. The project will utilise advancements of high-performance computing to carry out unsteady Reynolds-Averaged Navier-Stokes (uRANS) and Large Eddy Simulations (LES) of airflow through CBRN filters in breath responsive respirators.
  Cellular Automaton to Model Rapid Crystal Growth and Recrystallisation
  Dr A Roy, Dr K Baxevanakis
Applications accepted all year round

Funding Type

PhD Type

Texture in materials plays a crucial role in metallic products. A thorough study of the underlying morphology and its evolution is relevant for producing cast parts of innovative technological products.
  Predicting failure in crystalline materials using machine learning techniques
  Dr A Roy, Dr M Pacella
Applications accepted all year round

Funding Type

PhD Type

Single crystal materials are extensively used in components ranging from the smallest (e.g. micro-lens, MEMS devices) to the largest sizes (e.g.
  An integrated approach for damage identification in composite materials (KB2UF2019)
  Dr K Baxevanakis, Prof V Silberschmidt
Application Deadline: 30 November 2020

Funding Type

PhD Type

Non-destructive inspection based on acoustics is today one the primary methods for the identification of damage precursors in components and structures.
  Predicting failure in crystalline materials using machine learning techniques
  Dr A Roy, Dr M Pacella
Applications accepted all year round

Funding Type

PhD Type

Single crystal materials are extensively used in components ranging from the smallest (e.g. micro-lens, MEMS devices) to the largest sizes (e.g.
  PhD position in Computational Sciences
  Prof C Alexandrou
Applications accepted all year round

Funding Type

PhD Type

PhD, with possibility of financial aiding at The Cyprus Institute (CyI). Supervisors. Prof. C. Alexandrou (CyI) [email protected]
  Doctor of Engineering (EngD): Computational Techniques for the Flat Imager
  Prof D Reid
Application Deadline: 30 January 2020

Funding Type

PhD Type

MBDA has patented a novel infrared (IR) imaging device known within the company as the Flat Imager. The Flat Imager is similar in design to a TOMBO* imaging system, in so far as the device will capture multiple similar images of a scene.
  Ultraprecision machining in Silicon Carbide - Ref: ARUF2518
  Dr A Roy
Application Deadline: 3 May 2020

Funding Type

PhD Type

Silicon carbide is of great importance as a structural ceramic as it is amongst the hardest materials known. Machining silicon carbide parts into the required shape and form for a given application is extremely difficult, yielding unwanted defects.
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