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Statistics (manufacturing engineering) PhD Projects, Programs & Scholarships

We have 8 Statistics (manufacturing engineering) PhD Projects, Programs & Scholarships

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  Coach’s Companion: A Sport Based Joint Cognitive System
  Prof J Harding, Prof C Dickerson, Dr P Sherratt
Application Deadline: 31 July 2020

Funding Type

PhD Type

Knowledge to support coaching and team selection is diverse, ranging from tacit knowledge, obtained through interactions with people, to statistical data based on performance.
  Reducing Wind Turbine Vibrations using Maximum Entropy (WMUF2019)
  Dr W Midgley, Dr P Fleming
Application Deadline: 1 January 2020

Funding Type

PhD Type

Vibration due to wind loading can cause fatigue damage to the blades and the structure of modern wind turbines. The inherent uncertainty in wind conditions makes controlling these turbines difficult and conservative algorithms are often used to control them.
  Medical image-based computational modelling and an AI algorithm development for lung disease diagnosis (MKUF2019)
  Dr K Kim, Dr T Kim
Application Deadline: 31 January 2020

Funding Type

PhD Type

Medical imaging is a clinically established tool to assess structural or (and) functional abnormalities in a respiratory system. It may provide valuable information beyond the human senses.
  EPSRC Centre for Doctoral Training in Molecules to Product

Funding Type

PhD Type

50 funded PhD studentships will be available over the next 5 years for UK and EU students. The Centre for Doctoral Training in Molecules to Product will train tomorrow's research leaders with the skills and know-how in designing, characterising and developing the next generation of chemical and material based products.
  Analysis of termite vibration signatures to innovate stealthy hexapod gait pattern
  Dr S Oberst
Applications accepted all year round

Funding Type

PhD Type

This is a collaborative project between the Defence Science and Technology Group and a private. company. This project will sit with the.
  Rapid hybrid manufacture of prototypes and digital to physical synchronisation in product design
  Dr C Snider, Prof B Hicks
Applications accepted all year round

Funding Type

PhD Type

Summary. This project will investigate methods and systems to rapidly generate and alter physical models to synchronise with digital versions.
  Machine learning to locate defects in ultrasonic inspection images
  Prof T Cootes, Dr M Fergie
Applications accepted all year round

Funding Type

PhD Type

It is important that manufactured components are inspected to identify defects which may cause early failure, particularly in safety critical systems.
  Statistical machine learning for efficient and reliable estimation in computationally intensive systems
  Dr X Chen
Application Deadline: 8 December 2019

Funding Type

PhD Type

A computationally intensive Industrial process is sometimes considered and modelled as a black-box system, for which one can only observe/analyse system’ inputs and outputs but with very limited knowledge of its internal mechanism.
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