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Environmental Engineering (computational physics) PhD Projects, Programs & Scholarships

We have 6 Environmental Engineering (computational physics) PhD Projects, Programs & Scholarships

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  SCENARIO - Enhancing forecasting flood inundation mapping through data assimilation
  Research Group: SCENARIO NERC DTP
  Prof S L Dance, Dr D Mason
Application Deadline: 24 January 2020

Funding Type

PhD Type

Flooding is major risk for lives and livelihoods around the world. In Europe alone, the annual cost due to flood damage is expected to rise to 100 billion EUR by the year 2080, due to a combination of climate change and socio-economic growth.
  Numerical Modelization Of The Physics Of Wetlands
  Dr V Ioannidou
Application Deadline: 1 December 2019

Funding Type

PhD Type

The Faculty of Computing, Engineering and the Built Environment (CEBE) is making major investments in growing the quality and volume of research across its two constituent Schools (Schools of Engineering and the Built Environment, and Computing and Digital Technology) through investments in academic staff and researchers, doctoral students and new labs, workshops and equipment.
  Research Studentship in Unsteady Fluid Dynamics of Tidal Stream Turbines
  Prof R Wilden, Dr C Vogel, Dr T Nishino
Application Deadline: 24 January 2020

Funding Type

PhD Type

Research Studentship in Unsteady Fluid Dynamics of Tidal Stream Turbines. 4-year DPhil (PhD) studentship starting October 2020. Supervisors.
  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.
  Joint PhD with RWTH Aachen: Use of machine learning to optimise turbulence modelling
  Prof R Sandberg
Application Deadline: 20 February 2020

Funding Type

PhD Type

Industry relies heavily on turbulence models to make numerical predictions sufficiently affordable. However, in many situations the lack of predictive accuracy of the underlying models limits the impact that computational methods can have on technology development.
  Numerical modelling of sediment transportation and surface roughness on vegetated coastal dune systems
  Assoc Prof S Wakes
Applications accepted all year round

Funding Type

PhD Type

Coasts and coastal communities around the world are vulnerable to sea level increases and intensity of storm events. Vegetated sand dunes are relied upon for protection, buffering coastal communities from the sea.
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