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Information Science PhD Projects, Programs & Scholarships in Australia

We have 7 Information Science PhD Projects, Programs & Scholarships in Australia

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  Advanced Microstructure Design to Improve Formability of Ultra High Strength Steels in Conventional and Flexible Roll Forming
  Dr V Janik, Prof R Dashwood
Application Deadline: 30 June 2019
This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia.
  Smart Grid meets the Internet of Things
  Dr J Brusey
Application Deadline: 10 June 2019
The recent developments and low-cost nature of wireless sensor networks (WSNs) and the Internet of Things can bring significant advantages over traditional communication technologies used in today’s electric power systems.
  Needle in a Haystack: Brillouin photonic processing for carrier recovery in optical communications
  Dr B Corcoran
Application Deadline: 30 June 2019
The project aims to apply Brillouin processing to the development of an innovative self-tracking optical filter for isolating optical carriers for coherent receivers in future ultrahigh bit-rate optical communication systems.
  Exploring Evolutionary Impacts of Deception
  Dr C Kopp
Applications accepted all year round
Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches and food chains.
  Analytic methods for detecting and making sense of somatic genomic rearrangements
  Prof A Papenfuss
Applications accepted all year round
Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round
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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