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Statistics (algorithm) PhD Projects, Programs & Scholarships

We have 23 Statistics (algorithm) PhD Projects, Programs & Scholarships

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  Medical image-based computational modelling and an AI algorithm development for lung disease diagnosis (MKUF2019)
  Dr K Kim, Dr T Kim
Application Deadline: 31 January 2020

Funding Type

PhD Type

Medical imaging is a clinically established tool to assess structural or (and) functional abnormalities in a respiratory system. It may provide valuable information beyond the human senses.
  Spatial statistical methods and machine learning for analysis of retinal images of optic disc
  Dr G Czanner, Dr S Czanner
Applications accepted all year round

Funding Type

PhD Type

Automated disease diagnosis using medical imaging data is an increasingly important problem. For example, colour retinal images are used to detect glaucoma - a major cause of blindness.
  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.
  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  Exploring the environment of black holes merger and its connection with gravitational waves
  Research Group: Gravitational Physics
  Dr C Inserra, Prof S Fairhurst
Application Deadline: 10 January 2020

Funding Type

PhD Type

Core-collapse supernovae are the final, explosive demise of massive stars and are responsible for black hole formation. As a consequence of the prevalence of binarity amongst massive stars, they provide the leading progenitor channel of producing compact object binary systems with two black holes.
  Analytic methods for detecting and making sense of somatic genomic rearrangements
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Clinical cancer bioinformatics: developing new bioinformatics methods for improved analysis of cancer gene hybridisation capture panels
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Interactive Sequential Pattern Mining of Web Logs
  Dr M Vigo
Applications accepted all year round

Funding Type

PhD Type

Sequential pattern mining algorithms are extremely useful to identify the most salient patterns in sequences of events [1,2]. These events can be transactions on a database or time-series data.
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