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Information Science (complexity) PhD Projects, Programs & Scholarships

We have 12 Information Science (complexity) PhD Projects, Programs & Scholarships

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  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  Modulation recognition/classification
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

All radio communication signals (radio, television, mobile phones, etc.) are modulated before transmission. Modulation recognition/classification is fundamental for correct demodulation.
  Using GANs for Attack-Defense Tree Construction: The Case of Automotive Threat Modelling
  Dr H Nguyen
Application Deadline: 23 March 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship, in the areas of Generative Adversarial Networks, Threat modelling, and Automotive cybersecurity.
  Artificial Intelligence and Machine Learning for Biomedical Data
  Prof P Andras
Applications accepted all year round

Funding Type

PhD Type

Artificial Intelligence (AI) and Machine Learning (ML) are the leading edge approaches to data driven problems across all areas of life, technology and sciences.
  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.
  Simulating the Ising machine quantum computer
  Research Group: Theoretical Physics
  Prof P Drummond, Prof M Reid
Application Deadline: 1 March 2020

Funding Type

PhD Type

In order to design a quantum computer, one has to understand the physics of how it operates. This project will develop a simulation of the Ising machine quantum computer, in a joint project with NTT Research, one of the largest international industrial research laboratories.
  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.
  EPSRC Centre for Doctoral Training in Delivering Quantum Technologies

Funding Type

PhD Type

4-year PhD programme in quantum technology and quantum systems engineering. • Quantum technologies involve control and manipulation of quantum states to achieve results not possible with classical matter, transforming measurement, communication and computation.
  Machine learning approaches for ore deposit characterization in the Platreef (Bushveld Complex, South Africa)
  Dr H Hughes, Dr j Hickey, Dr S Das, Dr C Yeomans
Application Deadline: 23 March 2020

Funding Type

PhD Type

The Northern Limb of the Bushveld Complex (South Africa) is host to the world’s largest resource of platinum-group elements (PGE), along with significant nickel, copper and cobalt in a complex magmatic sulphide ore deposit.
  Identifying determinants of co-morbidities in patients affected by osteoarthritis using machine learning
  Dr M Villa-Uriol, Prof M Wilkinson, Dr M Alvarez
Application Deadline: 17 April 2020

Funding Type

PhD Type

Proposed start date. Preferred, 1st October 2020. Overview. This 3.5 year studentship is part of the Healthy Lifespan Institute (HELSI) at The University of Sheffield.
  Data Science of Social Innovation
  Dr Y Eom
Application Deadline: 1 March 2020

Funding Type

PhD Type

The Centre for Doctoral Training in Data Science for Studying Science, Innovation and Entrepreneurship is looking for applicants for a PhD studentship in Data Science of Social Innovation, supervised by Dr Yashar Moshfeghi (Dept.
  University of Warwick Centre for Doctoral Training in Mathematics for Real-World Systems

Funding Type

PhD Type

The MathSys programme provides students with the state-of-the-art mathematical modelling skills critical to address today's challenges in biomedicine and health sectors, modern industry and the digital economy.
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