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Mathematics (human) PhD Projects, Programs & Scholarships

We have 71 Mathematics (human) PhD Projects, Programs & Scholarships

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  Determining Earth’s Volatile Cycling using Machine Learning
  Dr C Rychert, Dr T Henstock
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. Earth’s volatile cycle is fundamental to human existence on the planet. However, precise constraints on this system have proved challenging.
  Microplastic hotspots on the deep seafloor: Investigating the role of seafloor currents in microplastic transport and accumulation
  Dr M Clare, Prof A Cundy, Dr A Horton, Dr I Kane
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. There is growing concern about the impact of plastic pollution (particularly microplastics) on ocean ecosystems and human health[1].
  Not just going with the flow: does biological production rather than deep water formation drive the Southern Ocean carbon sink?
  Dr P Brown, Prof A Naveira-Garabato, Dr N Briggs
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. The Southern Ocean (SO) is thought to have absorbed ~40% of all global human-derived (anthropogenic) carbon dioxide and >75% of anthropogenic heat, thus being disproportionately influential in mitigating increasing atmospheric CO2 levels and related climate effects.
  Planting for silence: the role of domestic gardens in mitigating urban noise pollution
  Dr P.E. Osborne, Dr P White, Prof A Griffiths, Dr T Blanusa
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. According to the WHO, noise pollution is second only to ultra-fine particulate matter in its impact on human health.
  Quantifying Variations in Hydrothermal Contributions to the Oceans:Scaling from drill core observations to global models
  Dr R.M. Coggon, Prof D Teagle, Dr B Thornton
Application Deadline: 3 January 2020

Funding Type

PhD Type

Project Rationale. Ocean chemistry reflects a dynamic balance between riverine inputs, biological processing, sediment burial, and hydrothermal exchanges with ocean crust.
  PhD Studentship Opportunity in Uncertainty quantification in high-dimensional spaces with Bayesian deep learning
  Research Group: Nature Inspired Computing and Engineering
  Dr Y Li
Applications accepted all year round

Funding Type

PhD Type

The Nature Inspired Computing and Engineering (NICE) Research Group in the Department of Computer Science at the University of Surrey invites applications for a funded studentship in Machine Learning.
  Distributed traffic control for connected and autonomous vehicles in mixed traffic environments
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

In an era of rapid technological changes, connected, electric and autonomous vehicles (CAEVs) seem to be the perfect solution for dealing with challenging problems such as congestion, pollution and space optimisation in urban areas.
  Modelling traffic disruptions using machine learning and simulation modelling
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

Project Topic. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost.
  PhD Position: Deep Reinforcement Learning for Computer Vision
  Research Group: Data Science
  Mr J Han, Prof G Montana
Applications accepted all year round

Funding Type

PhD Type

PROJECT OVERVIEW. Nowadays, machine learning, deep neural networks in particular, quickly become a viable means for solving real-life computer vision problems such as object detection, semantic segmentation, object recognition and tracking.
  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).
  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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