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Operational Research (algorithm) PhD Projects, Programs & Scholarships

We have 7 Operational Research (algorithm) PhD Projects, Programs & Scholarships

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  Developing a new learning algorithm for biologically inspired spiking neural networks
  Dr A Taherkhani, Prof TM McGinnity, Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

The brain’s processing ability to solve complex problems has inspired many researchers to investigate how the brain processes information, reasons and its learning mechanisms.
  Data science frontier: theory and algorithm
  Prof L Cao
Applications accepted all year round

Funding Type

PhD Type

Theoretical breakthroughs in frontier data science will be built on top of statistic learning and deep learning for complex data analytics and learning.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Problems in large graphs (e.g., social networks, VANETs)
  Dr R Sakellariou
Applications accepted all year round

Funding Type

PhD Type

A number of interesting problems nowadays can be modelled by large graphs. For example, web links constitute a graph (google and the pagerank algorithm exploit properties of this graph), also facebook friendships, paper citation patterns and many more.
  Advanced Metaheuristics and Hyperheuristics for Telecommunications Scheduling Problems - PhD Computer Science (Industrially Funded PhD Studentship)
  Dr E Keedwell
Application Deadline: 29 November 2019

Funding Type

PhD Type

An exciting opportunity to work with Computer Scientists at the University of Exeter and BT plc to develop new metaheuristic (e.g.
  Modelling traffic disruptions using machine learning and simulation modelling
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

Project Topic. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost.
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round

Funding Type

PhD Type

Topic. This project will develop and evaluate stochastic models for the spread of information over complex social networks, in which the individual actions -- such as retweets, posts or shares -- are only partially observed.
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