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Operational Research (selection) PhD Projects, Programs & Scholarships

We have 8 Operational Research (selection) PhD Projects, Programs & Scholarships

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  Bayesian Methods for Stochastic Epidemic Models
  Dr C Wen, Dr C Ling, Dr J Li
Applications accepted all year round

Funding Type

PhD Type

This project employs Bayesian methods to build reliable stochastic models to fit partially observed data for the endemic infectious diseases and hence to assist understanding the transmission scheme of the epidemics.
  Deep Learning algorithms, reasoning and interpretation
  Dr G Cosma
Application Deadline: 1 September 2020

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Innovation readiness of public sector procurement practices in the construction industry (Advert Reference: SF19/EE/MCE/SAMWINGA)
  Dr V Samwinga, Prof D Greenwood
Applications accepted all year round

Funding Type

PhD Type

Carillion’s collapse in January 2018, which will cost taxpayers at least £148 million and affected up to 30,000 subsidiary businesses, has intensified debate over the effectiveness of UK public procurement practices and how risk is dealt with.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  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.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  Advanced Metaheuristics and Hyperheuristics for Telecommunications Scheduling Problems - PhD Computer Science (Industrially Funded PhD Studentship)
  Dr E Keedwell
Application Deadline: 22 January 2020

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.
  Random forests for noisy applications in finance
  Prof J Fliege, Dr E Dodd
Applications accepted all year round

Funding Type

PhD Type

In the financial and insurance sector, machine learning (ML) challenges usually arise either in a setting where data is contaminated by noise or the model to be learned is of a stochastic nature.
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