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Computer Science & IT (information studies) PhD Projects, Programs & Scholarships

We have 105 Computer Science & IT (information studies) PhD Projects, Programs & Scholarships

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  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.
  AUTOMATION IN THE PRACTICE OF ARCHAEOLOGICAL SURVEY
  Dr R Opitz
Application Deadline: 13 May 2020

Funding Type

PhD Type

Thanks to AHRC Collaborative Doctoral Partnership funding held jointly by Historic Environment Scotland (HES) and the University of Glasgow, we are offering…
  PhD programmes in Liberal Arts

Funding Type

PhD Type

Mary Immaculate College (MIC) offers a diverse suite of postgraduate programmes in Liberal Arts to masters and doctoral level. Be part of an innovative and creative learning environment with student supports, graduate skills training and a range of financial supports.
  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.
  Granular Computing for Power Electronics Circuits Optimisation
  Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information.
  Bioinformatics studies of protein structures, functions and their interactions
  Dr L J McGuffin
Applications accepted all year round

Funding Type

PhD Type

The computational study of protein structures, functions and their interactions is fundamental to our understanding of disease.
  NEUROSCAPE - a Virtual Reality Artificial Environment for simulated neural development studies
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor Dr Graeme Bragg, Professor John Chad. Project description.
  BIM Enrichment for inclusion of Building Automation System information
  Dr J O’Donnell
Applications accepted all year round

Funding Type

PhD Type

To map the data requirements between Building Automation System (BAS) standards, specifically LonTalk (ISO/IEC 14908) and BACnet (ISO 16484), and IFC-based BIM standards.
  Precision genetics to improve Asthma prediction, diagnosis and treatment in children
  Dr J O'Sullivan, Dr T Fadason
Application Deadline: 15 April 2020

Funding Type

PhD Type

Asthma is a prevalent respiratory condition in children and adults globally, with the prevalence in NZ among the highest in the developed world.
  Type 1 Diabetes – untangling ethnic differences using a multimorbid co-localisation approach
  Dr J O'Sullivan, Dr W Schierding
Application Deadline: 15 April 2020

Funding Type

PhD Type

Type 1 diabetes (T1D) is an autoimmune disease in which autoreactive T cells destroy the insulin-producing pancreatic beta cells leading to absolute insulin deficiency.
  Energy prediction in buildings using Artificial Intelligence
  Dr G Cosma
Application Deadline: 17 April 2020

Funding Type

PhD Type

Application details. Reference number. CO/GC-CDT-2/2020. Start date of studentship. 1 July 2020. Closing date of advert. 17 April 2020.
  Moral Ordering of Digital Healthcare Technologies (Advert Reference: SF19/BL/EIS/WILSON)
  Prof R Wilson
Applications accepted all year round

Funding Type

PhD Type

The implementation of digital technologies from telecare to electronic health record systems remains a significant challenge to governments around the world.
  Evolution and Dynamics of Complex Social Networks
  Dr K Musial-Gabrys
Applications accepted all year round

Funding Type

PhD Type

**THIS OPPORTUNITY IS FOR AUSTRALIAN DOMESTIC CANDIDATES ONLY**. The Project. The main goal of the PhD project is to build robust models of Complex Social Networks (CSNs) taking simultaneously into account their structure, dynamics and control (for details please see below).
  Design human-like machine learning
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reasoning, Random Forests and Neural Networks) are frequently employed in most of the experiments.
  Data analytics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

In recent years, more and more data are available in many areas. We live in a very data-rich world. Our challenge is obtain information or to develop understanding from such data.
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