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Operational Research PhD Projects, Programs & Scholarships in Southampton

We have 5 Operational Research PhD Projects, Programs & Scholarships in Southampton

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  Mechanism Design under both Competition and Cooperation
  Dr TD Nguyen
Application Deadline: 31 March 2019
Applications are invited for a fully-funded PhD position at Southampton Business School, awarded on the basis of academic excellence to new students who will commence a research programme in Oct 2019.
  Coopetition: Mechanism design under cooperative competition.
  Dr TD Nguyen
Application Deadline: 6 June 2019
Applications are invited for a fully-funded PhD position at the Southampton Business School – Mathematical Sciences, awarded on the basis of academic excellence to new students who will commence a research programme in Oct 2019.
  Evolution Inspired Development of Multi-Level Selection Genetic Algorithm for General Applications
  Research Group: Fluid-Structure Interactions
  Dr A Sobey, Dr T Ezard
Application Deadline: 1 April 2019
Genetic algorithms are used in a range of diverse applications including. spacecraft antenna design, AI in computer games, determining which genes cause illness and portfolio selection for financial investments.
  Artificial Intelligence and Road Traffic Signal Control
  Research Group: Transportation
  Dr B J Waterson
Application Deadline: 1 March 2019
The Transportation Research Group at the University of Southampton (www.southampton.ac.uk/trg) and Siemens Mobility Limited (Poole, UK) are pleased to be able to offer a fully-funded PhD studentship focussing on using Artificial Intelligence (AI) approaches to improve real-time road traffic signal control systems.
  A Theoretical Investigation in Dynamic Pricing and Revenue Management
  Research Group: Operational Research
  Dr A Avramidis
Applications accepted all year round
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.
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