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Mathematics (processing) PhD Projects, Programs & Scholarships

We have 50 Mathematics (processing) PhD Projects, Programs & Scholarships

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  Deep Learning and Bayesian Time Series Analysis for Probabilistic Post-Processing in Weather Forecasting. PhD in Mathematics (NERC GW4+ DTP)
  Dr S Das
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Saptarshi Das, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
  Processing of highly structured polymer nanocomposites
  Research Group: Nanocomposites
  Prof T Peijs, Prof T McNally
Applications accepted all year round

Funding Type

PhD Type

Traditionally, polymer nanocomposite processing has focused on the optimization of nanoparticle dispersion in a polymer melt or solution.
  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.
  Statistical post-processing of ensemble forecasts of compound weather risk. PhD in Mathematics (NERC GW4+ DTP)
  Dr F Kwasniok
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Dr Frank Kwasniok, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter.
  Deep Reinforcement Learning for Smart Steel Processing
  Research Group: Data Science
  Prof C Davis, Prof G Montana
Applications accepted all year round

Funding Type

PhD Type

Sequential decision making describes a situation where the decision maker makes successive observations of a process before a final decision is made.
  Development of Advanced High Modulus Steels for Automotive Applications
  Research Group: Advanced Metallic Systems Centre for Doctoral Training
  Prof E Palmiere, Dr M Jackson
Application Deadline: 31 January 2020

Funding Type

PhD Type

Although there has been much activity in the automotive sector in the area of advanced high strength steels (AHSS), with the objective of achieving high strength while exhibiting high stretch formability, there is a new generation of steels under consideration for automotive applications (Fig.
  Sensing, motility and information processing in brainless organisms, Biological Physics – PhD (Funded)
  Dr K Wan, Dr F Gielen
Application Deadline: 19 January 2020

Funding Type

PhD Type

The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in March 2020.
  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.
  PhD studentship – Signal Processing in Ultrasound Imaging
  Dr V Sboros
Application Deadline: 11 February 2020

Funding Type

PhD Type

Supervisors. Dr Vassilis Sboros (Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University), Prof Mathini Sellarthurai (Institute of Sensors Signals and Systems, Heriot Watt University) Prof Alan McNeill (Department of Urology, Western General Hospital and University of Edinburgh).
  Deep learning for Image and Video Processing and Information Retrieval
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

In the age of large scale automation and data explosion, deep learning offers means to process unstructured image data and allow us to receive a large amount of information.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  Precision Medicine DTP - Large-Scale Data-Driven Lung Cancer Diagnostics using Time-Resolved Fluorescence Spectroscopy (TRFS)
  Dr S Seth, Dr KD Dhaliwal, Dr M Khadem
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Pulmonary nodules are common, often incidental, findings on chest CT scans. The investigation of pulmonary nodules is, however, time-consuming and often leads to protracted follow-up with ongoing radiological surveillance.
  PhD Studentship Opportunity in Real time complex scene segmentation and prediction in urban environments
  Prof R Bowden
Applications accepted all year round

Funding Type

PhD Type

Semantic image segmentation describes the process of associating each pixel of an image with a class label (such as flower, person, road, sky etc).
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Super Fast Algorithms for Big Graphs
  Dr C Konrad
Application Deadline: 24 January 2020

Funding Type

PhD Type

Massive data set algorithms are more in demand than ever due to the rapid expansion of Big Data. When processing hundreds or thousands of terabytes of data, algorithms need to be extremely efficient and have a very small memory footprint.
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