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Geology (computational engineering) PhD Projects, Programs & Scholarships

We have 8 Geology (computational engineering) PhD Projects, Programs & Scholarships

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Showing 1 to 8 of 8
  PhD Studentship in Floating Offshore Wind Turbines
  Dr M Collu
Application Deadline: 29 November 2019

Funding Type

PhD Type

Qualification type. PhD. Location. Glasgow, UK. Hours. Full Time. Start Date and Duration. December 2019, for 3 years. Prompt application is advised, as this position is only available until a suitable candidate is found.
  Slope stability and climate change in high-mountain regions: Understanding and predicting geo-hazards.
  Dr A Abellan, Dr B Murphy, Dr J West, Dr D Quincey
Application Deadline: 6 January 2020

Funding Type

PhD Type

HIGHLIGHTS. Timely project. a game changing approach to improve understanding, model and forecast landslides in mountainous areas is urgently needed.
  Bringing machine learning techniques to geophysical data processing
  Dr L Uieda, Dr S De Angelis
Application Deadline: 10 January 2020

Funding Type

PhD Type

Gravity and magnetic surveys offer a cost-effective method for investigating sedimentary basins, mineral deposits, active tectonics in the oceans, and overall crustal structure.
  Constraining mantle dynamics with seismic data
  Prof J H Davies, Dr J Wookey
Application Deadline: 6 January 2020

Funding Type

PhD Type

Project Background. Earthquakes, volcanoes and mountains result from the dynamic Earth, driven by mantle convection. This fundamental process that underlies all these very important phenomena is very poorly understood.
  Large-scale mapping of the thickness of the crust from satellite gravity and gravity gradient data
  Dr L Uieda, Prof R Holme
Application Deadline: 10 January 2020

Funding Type

PhD Type

Geophysical methods offer a window into the deep Earth through indirect observations, such as disturbances in the Earth’s gravity field.
  Caribbean Subduction: Seismic Imaging of Melt and Volatiles in the Lesser Antilles with joint inversion, full-waveform, and machine learning approaches
  Dr C Rychert, Dr T Henstock
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. Dense oceanic tectonic plates sink beneath buoyant continental plates at subduction zones. The ocean plate adds volatiles like water to the mantle, lowering the melting temperature, and enabling melting and eventually creating volcanoes at Earth’s surface.
  Climate Change, Plate Tectonics and Machine Learning
  Dr C Rychert, Dr J Whiteside
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. Our understanding of the transition from the lithospheric plate to the weaker asthenosphere has recently been revolutionized by seismic imaging that finds a sharp, strong discontinuity at the base of the plate.
  Determining Earth’s Volatile Cycling using Machine Learning
  Dr C Rychert, Dr T Henstock
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. Earth’s volatile cycle is fundamental to human existence on the planet. However, precise constraints on this system have proved challenging.
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