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Applied Mathematics (turbine) PhD Projects, Programs & Scholarships

We have 16 Applied Mathematics (turbine) PhD Projects, Programs & Scholarships

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  PhD Studentship: Understanding edgewise vibration in flexible wind turbine blade (WS23)
  Dr T Kim, Dr S Theodossiades
Application Deadline: 16 August 2019

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  PhD Studentship: Development of an aeroelastic multi-disciplinary design optimization framework for large wind turbine systems (WS22)
  Dr T Kim, Dr S Theodossiades
Application Deadline: 16 August 2019

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  PhD Studentship: Understanding aeroelastic dynamics for aeroelastically tailored smart turbine blades (WS17)
  Dr T Kim, Dr S Theodossiades
Application Deadline: 16 August 2019

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  Wind Turbine Operation and Maintenance in Extreme Conditions – How will Springing and Ringing Loads Have an Influence on O&M?
  Dr X Liu
Applications accepted all year round

Funding Type

PhD Type

Overview. The mix of energy supply worldwide has changed dramatically in the last few decades. In the UK, in order to tackle climate change and increasing energy consumption, there has been a clear movement from fossil towards renewable and sustainable energy sources.
  Using Artificial Intelligence to Study Variations in Gas Turbine Performance
  Research Group: Computational Engineering and Design
  Dr D Toal, Prof A Keane
Application Deadline: 31 August 2019

Funding Type

PhD Type

Artificial Intelligence (AI) allows the rapid processing of images. In the context of gas turbines this means that scans and video imaging of engine parts could be automatically assessed for variations in shape that can have significant impact of fuel consumption and engine life.
  EPSRC Centre for Doctoral Training in Future Propulsion and Power (MRes & PhD)

Funding Type

PhD Type

Location. MRes year 1, University of Cambridge-Department of Engineering; PhD years 2-4, Universities of Cambridge, Oxford or Loughborough.
  EPSRC Centre for Doctoral Training in Future Propulsion and Power (MRes & PhD)

Funding Type

PhD Type

Location. MRes year 1, University of Cambridge-Department of Engineering; PhD years 2-4, Universities of Cambridge, Oxford or Loughborough.
  EPSRC Centre for Doctoral Training in Future Propulsion and Power (MRes & PhD)

Funding Type

PhD Type

Location. MRes year 1, University of Cambridge-Department of Engineering; PhD years 2-4, Universities of Cambridge, Oxford or Loughborough.
  Modelling of Dislocation-Microstructure Interaction at a Short Crack Tip - Ref: LG1UF2018
  Dr L Zhao
Application Deadline: 3 May 2020

Funding Type

PhD Type

Nickel-based superalloys are particularly used in applications involving high temperatures and stresses, such as the critical gas-turbine blades and discs in aerospace and power-generation industries.
  Wave-current interaction modelling for marine and coastal engineering
  Dr A Angeloudis, Dr V Venugopal
Application Deadline: 30 August 2019

Funding Type

PhD Type

Coastal areas are heavily populated in countries around the world and are a source of recreational and industrial economic activities.
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