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Computer Science & IT PhD Projects, Programs & Scholarships in Suzhou

We have 7 Computer Science & IT PhD Projects, Programs & Scholarships in Suzhou

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  Big Data Analytics for Location Based Services
  Dr X Wang
Applications accepted all year round

Funding Type

PhD Type

Xi’an Jiaotong Liverpool University (XJTLU), located in the paradise city Suzhou, is a unique research led university formed by two prestigious universities – Liverpool University in the UK and Xi’an Jiaotong University in China.
  Ligand-induced selective signalling of peptide GPCRs and their potential role in the regulation of mRNA methylation
  Prof Z Lu, Dr J Meng, Dr R Rong
Applications accepted all year round

Funding Type

PhD Type

G protein-coupled receptors (GPCRs) modulate the majority of physiological and pathological processes and constitute the largest family of cell surface receptors and drug targets.
  Edge Computing and Networking for Photovoltaic Power Control Systems
  Dr J Ma, Dr K L Man, Dr Y Hu
Applications accepted all year round

Funding Type

PhD Type

Distributed photovoltaic (PV) generation is growing rapidly due to renewable-energy policies, business innovation, and new technology.
  Improving complicated document recognition by multi-modal analysis
  Dr Q Wang, Dr K Huang, Dr Y Goulermas
Applications accepted all year round

Funding Type

PhD Type

Complicated document means the document with either complicated foreground (e.g., flexible handwriting styles, complicated layout) or complicated background (e.g., scene texts).
  Investigation of adversarial learning with deep neural networks
  Dr K Huang, Dr R Zhang, Dr Y Goulermas
Applications accepted all year round

Funding Type

PhD Type

Adversarial examples are augmented data generated by imperceptible perturbation of existing samples. They have recently drawn much attention with the machine learning community.
  Bayesian Methods for Stochastic Epidemic Models
  Dr C Wen, Dr C Ling, Dr J Li
Applications accepted all year round

Funding Type

PhD Type

This project employs Bayesian methods to build reliable stochastic models to fit partially observed data for the endemic infectious diseases and hence to assist understanding the transmission scheme of the epidemics.
  Research on Exoskeleton Control System based on Brain-Computer Interface
  Dr M Huang, Dr R Yang, Dr D Tate, Dr R Ferrero
Applications accepted all year round

Funding Type

PhD Type

To ensure the safe and reliable operation of exoskeleton, the control system based on brain-computer interface is the premise and foundation, which has been discussed in literature.
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