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

We have 59 Applied Physics (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.
  Next Generation Medical Design Tools: Full device Design Modelling of Aneurysm Repair Stents
  Dr B Dempster, Prof D Nash
Application Deadline: 13 March 2020

Funding Type

PhD Type

A 48-month PhD Studentship with strong industrial collaboration is available to develop computational design methods for stents used to mitigate rupture in aneurysms of the large arteries.
  Computational materials engineering of interfaces in alloys
  Dr C Brandl
Applications accepted all year round

Funding Type

PhD Type

Research field. We are working in Computational Materials Science which is an interdisciplinary area. It’s a challenging mix of physics, materials science, engineering, mathematics, and computational science.
  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: 29 February 2020

Funding Type

PhD Type

Number of awards. 1. 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.
  Computational Light Microscopy
  Dr T Vettenburg
Applications accepted all year round

Funding Type

PhD Type

A PhD studentship is available at the Computational Microscopy Lab of the University of Dundee. The student will develop a novel light microscopy technique to image biological samples in 3D.
  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.
  Doctor of Engineering (EngD): Computational Techniques for the Flat Imager
  Prof D Reid
Application Deadline: 28 February 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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