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University of Southampton, School of Mathematics PhD Projects, Programs & Scholarships

We have 6 University of Southampton, School of Mathematics PhD Projects, Programs & Scholarships

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  A Theoretical Investigation in Dynamic Pricing and Revenue Management
  Dr A Avramidis
Applications accepted all year round

Funding Type

PhD Type

The project is aimed at a primarily theoretical investigation in Dynamic Pricing and Revenue Management, drawing from Applied Probability and Mathematical Statistics, and contributing to these areas.
  Analytics for condition based maintenance
  Dr A Zemkoho, Dr S Coniglio
Applications accepted all year round

Funding Type

PhD Type

Siemens Rolling Stock UK is sponsoring a PhD project on Data Analytics and Operational Research. This project will focus on developing a combination of data- and model-driven approaches to support the condition based maintenance of rolling stock equipment.
  Fully funded PhD studentship in machine learning for clinical diagnosis.
  Research Group: Applied Mathematics
  Dr B MacArthur
Application Deadline: 1 August 2020

Funding Type

PhD Type

Applications are invited for a fully-funded PhD studentship in machine learning to support clinical decision-making. The aim of this project is to develop machine learning algorithms specifically tailored to learn clinical outcomes from the kinds of time-series and imaging datasets commonly collected in the clinic.
  Global supply chain and resource management for aircraft fleets in uncertain environments
  Research Group: Operational Research
  Dr S Coniglio, Prof J Fliege
Applications accepted all year round

Funding Type

PhD Type

We want to develop novel mathematical models and optimisation algorithms for joint supply chain and resource management in an uncertain environment.
  Network modelling of structural and functional brain connectivity in newborns
  Dr R Sanchez-Garcia
Applications accepted all year round

Funding Type

PhD Type

In recent years there has been a remarkable progress in our understanding of the brain as a multi-scale networked system. These advances result from the combination of new experimental and imaging techniques with advanced mathematical and computational methods.
  Predictive maintenance through advanced data exploitation
  Research Group: Operational Research
  Dr H-D Qi, Prof C Mues
Applications accepted all year round

Funding Type

PhD Type

Based on advanced machine learning concepts, we want to develop predictive maintenance tools for fleets of vehicles.
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