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Statistics (information systems) PhD Projects, Programs & Scholarships

We have 50 Statistics (information systems) PhD Projects, Programs & Scholarships

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  Who Counts? Understanding and enabling synergies between routine mortality data and data systems inform and rural primary health systems in South Africa
  Dr L D'Ambruoso, Prof P Byass
Application Deadline: 26 June 2020

Funding Type

PhD Type

Described as the single most critical development failure of the past 30 years, in Africa and Asia the majority of births, deaths, and causes of deaths are never recorded.
  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.
  KESS2 Scholarship: Rail Sector Threat Intelligence (MbyRes)
  Dr E Llewellyn
Application Deadline: 2 February 2020

Funding Type

PhD Type

This is a funded MbyRes, including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.
  Mathematical modelling of immune cell host-pathogen interactions
  Dr P Paszek, Dr M Muldoon, Prof I Roberts
Applications accepted all year round

Funding Type

PhD Type

Mammals have central cellular defence systems that resist infection by a range of pathogens. These involve the NF-κB and STAT signalling systems, which we have shown to use dynamics and timing to encode pathogen-associated signals.
  Statistical meta-learning approaches for smart distributed systems
  Dr X Chen
Application Deadline: 10 February 2020

Funding Type

PhD Type

Meta-learning, also known as “learning to learn”, is a machine learning technique that aims to design models that can learn from new environments rapidly with a very limited number of samples.
  KESS2 Scholarship: Threat Intelligence for Industrial Process Control Systems in CNI (MRes)
  Dr I Wilson
Application Deadline: 2 February 2020

Funding Type

PhD Type

This is a funded MRes, including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.
  Complex network analysis and resilience in large-scale multi-layer networks (Application Ref: SF19/EE/CIS/SHANG)
  Dr Y Shang, Prof A Bouridane
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to investigate and develop new data science approaches to model large-scale networks.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  Statistical machine learning for efficient and reliable estimation in computationally intensive systems
  Dr X Chen
Application Deadline: 8 March 2020

Funding Type

PhD Type

A computationally intensive Industrial process is sometimes considered and modelled as a black-box system, for which one can only observe/analyse system’ inputs and outputs but with very limited knowledge of its internal mechanism.
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