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Data Analysis (logistics) PhD Projects, Programs & Scholarships

We have 6 Data Analysis (logistics) PhD Projects, Programs & Scholarships

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  Enhancing Australian Agriculture Supply Chain Performance through Data Driven Decision Making
  Assoc Prof B Abbasi, Prof P Chhetri, Assoc Prof V Gekara
Applications accepted all year round

Funding Type

PhD Type

Agriculture is a key sector in Australia economy. After coal exports, agriculture products have highest share of export in Australia.
  Fractures and Fabrics in Glacier Ice: Sensitivity of Seismic Anisotropy for Antarctic Ice Masses
  Dr A Booth, Dr M Hildyard, Dr A Nowacki, Dr S de Ridder
Application Deadline: 13 January 2020

Funding Type

PhD Type

With an Antarctic field deployment and access to novel seismic data, could you explore new applications of seismic anisotropy to address pressing questions for Antarctic ice-mass stability?.
  PhD Scholarship: Developing a Manufacturing Analytics Cockpit
  Prof T Margaria
Applications accepted all year round

Funding Type

PhD Type

In the CONFIRM research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems.
  Global supply chain and resource management for aircraft fleets in uncertain environments
  Research Group: Operational Research
  Dr S Coniglio, Prof J Fliege
Applications accepted all year round

Funding Type

PhD Type

We want to develop novel mathematical models and optimisation algorithms for joint supply chain and resource management in an uncertain environment.
  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.
  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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