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Mechanical Engineering (computational engineering) PhD Projects, Programs & Scholarships

We have 76 Mechanical Engineering (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.
  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.
  Intelligent Computational Methods for Advanced Composites
  Dr Z Sharif Khodaei, Prof M.H. Aliabadi
Applications accepted all year round

Funding Type

PhD Type

The structural integrity group in the Aeronautics department (http://www.imperial.ac.uk/structural-integrity-health-monitoring/) is dedicated to improving integrity of engineering components and structures used in aerospace and other safety-critical industries.
  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 Fluid Dynamics Evaluation of Mixing Zones in Extra Corporeal Membrane Oxygenation Circuits to Prevent Brain Injury
  Dr J Pauls
Applications accepted all year round

Funding Type

PhD Type

The Critical Care Research Group (CCRG), based at the The Prince Charles Hospital (TPCH) in Brisbane, Australia, is seeking highly motivated, skilled and committed PhD candidates to join our multidisciplinary and international research team to commence a PhD project.
  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.
  Computational Framework for Metal Forming of High Strength Alloys
  Dr Amir Siddiq, Dr M Kartal
Applications accepted all year round

Funding Type

PhD Type

Conventional metal forming processes involve high cost and lead times because of design and manufacturing of product specific tooling for new materials and parts.
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