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Statistics (surface engineering) PhD Projects, Programs & Scholarships

We have 9 Statistics (surface engineering) PhD Projects, Programs & Scholarships

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  Reducing Uncertainty in the Response of the Earth System to Anthropogenic CO2 Emissions with Statistical Emulation of Land Surface Models. PhD in Mathematics (NERC GW4+ DTP)
  Dr O Stoner
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Oliver Stoner, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
  Modelling the effect of the electric double layer on electron transfer kinetics
  Dr L Lue
Applications accepted all year round

Funding Type

PhD Type

Electron transfer between molecules in solution and a surface (e.g., a metallic electrode or semiconducting substrate) occurs in a wide variety of important areas, including catalysis, corrosion, electrodeposition, photochemistry, etc.
  Statistical post-processing of ensemble forecasts of compound weather risk. PhD in Mathematics (NERC GW4+ DTP)
  Dr F Kwasniok
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Frank Kwasniok, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
  Overcoming the penetration depth limitations of optical coherence tomography in clinical dentistry using full electromagnetic wave computer models
  Dr P H Tomlins, Dr R Donnan
Applications accepted all year round

Funding Type

PhD Type

Background. In healthcare, imaging is one of the most important diagnostic tools available. Deep tissue imaging is usually achieved using either ionising X-Ray radiation, MRI which is expensive or ultrasound, which has low resolution.
  ONE Planet DTP - Is the future of urban drainage systems blue-green or grey? (OP20218)
  Dr C Walsh
Application Deadline: 31 January 2020

Funding Type

PhD Type

In England, 3.2 million households are located in areas at risk of surface water flooding, with annual damages exceeding £300 million.
  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.
  Microplastic Transport in Environmental Flows
  Dr R Dorrell
Application Deadline: 13 December 2020

Funding Type

PhD Type

Microplastics are anthropogenic particles that range from micron to millimetre in size. Carrying biological and chemical pollutants they pose a significant risk to natural ecosystems and habitats.
  ONE Planet DTP - Barriers to tree re-establishment in logged tropical rainforests in Borneo
  Prof Y Teh
Application Deadline: 31 January 2020

Funding Type

PhD Type

Using a quasi-experimental approach and spatial modelling, this project will test the influence of natural and anthropogenic factors on the success of natural forest restoration in an expansive landscape dominated by oil palm production (Northern Borneo).
  ONE Planet DTP - Real-time data to manage urban environmental risks (OP20216)
  Dr R Dawson
Application Deadline: 31 January 2020

Funding Type

PhD Type

High concentrations of people in urban areas concentrate impacts from extreme weather, climate change and environmental risks. These include poor air quality, heatwaves amplified by the urban heat island and surface water flooding.
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