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Maths & Computing×

University of Strathclyde Computer Science & IT PhD Projects

We have 12 University of Strathclyde Computer Science & IT PhD Projects

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  Biodegradable plastic composites from renewable or waste sources
  Dr K Johnston, Dr L Lue
Applications accepted all year round

Funding Type

PhD Type

To reduce the amount of plastic waste in the marine environment, there is a strong incentive to switch to biodegradable polymers, which are ideally synthesised from renewable or waste streams, rather than from oil.
  Computational design of hierarchical porous materials
  Dr M Jorge
Applications accepted all year round

Funding Type

PhD Type

Materials that are porous at the nanoscale are used in a wide variety of applications, like gas separation, carbon capture, catalysis and drug delivery.
  Computational design of polymer thin films for flexible sensor devices
  Dr K Johnston, Dr L Lue
Applications accepted all year round

Funding Type

PhD Type

Ferroelectric (FE) materials offer many useful properties and are employed in various devices, including nonvolatile memory, capacitors, sensors and actuators.
  Developing a multiscale description of complex fluids from the molecular to the continuum scales
  Dr L Lue, Dr D Kivotides
Applications accepted all year round

Funding Type

PhD Type

Engineers have traditionally used continuum equations to model processes, such as the Navier-Stokes equation for fluid flow. These methods require constitutive relations that encode the properties of the fluid; these are typically determined empirically and have limited predictive capabilities.
  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.
  Modelling the synthesis of metal-organic frameworks for continuous manufacture
  Dr M Jorge, Dr A Fletcher
Applications accepted all year round

Funding Type

PhD Type

Metal-Organic Frameworks, or MOFs for short, are exciting nanoporous materials at the forefront of many new scientific discoveries.
  Sustainable paper making using foam
  Dr P Grassia, Dr L Lue
Applications accepted all year round

Funding Type

PhD Type

Despite the advent of 21st century electronic communications, paper remains one of the most widely utilised materials in the world.
  Smart asset assessment for life-extension engineering using artificially intelligent feature recognition
  Dr X Yan
Application Deadline: 30 September 2019

Funding Type

PhD Type

This application is for a 3.5 year PhD to research into the area of reverse engineering. This PhD will look specifically at the reverse engineering of end of life assets, such as subsea components for oil and gas etc.
  Advanced Maritime Targets Recognition from SAR images exploiting target’s micro motions and AI
  Dr C Clemente
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a PhD studentship for which funding decision is pending.
  Advanced Target discrimination using fingerprinting based on High Resolution Range and micro-Doppler profiles
  Dr C Clemente, Prof J Soraghan
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a PhD studentship fully funded by the University of Strathclyde and Leonardo MW. Ground-based airborne imaging radar systems are frequently required to provide enhanced situational awareness information beyond target detection and tracking.
  Global warming, plankton functional diversity, and the biological ocean pump
  Dr B Chen, Dr N Banas
Applications accepted all year round

Funding Type

PhD Type

We all know that global warming is a serious issue for the future of humankind and is intimately related with anthropogenic CO2 emissions.
  Protecting our seas using computers - Modelling and forecasting the expansion of a highly invasive seaweed
  Dr B Chen, Prof M Heath
Applications accepted all year round

Funding Type

PhD Type

This fully-funded 3.5 year studentship will remain open only until filled. We recommend applying immediately. In this project, you will meet with the challenge of developing an individual based model to simulate the growth and dispersal of a highly invasive seaweed (Japanese eelgrass) driven by coastal ocean currents.
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