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Applied Mathematics (processing) PhD Projects, Programs & Scholarships

We have 61 Applied Mathematics (processing) PhD Projects, Programs & Scholarships

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  Development of new innovative materials and processing routes
  Research Group: Advanced Metallic Systems Centre for Doctoral Training
  Dr M Jackson
Application Deadline: 31 January 2020

Funding Type

PhD Type

Machinability of Ni-based super alloys is a constantly evolving topic, driven by the development of improved alloys for the aerospace industry.
  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.
  Image processing and machine learning applied to Earth Observation of the cryosphere (part of the SENSE Centre for Doctoral Training).
  Dr R Bingham, Dr N Gourmelen
Application Deadline: 19 January 2020

Funding Type

PhD Type

A number of recent studies have begun to highlight the potential to analyse remote sensing imagery to monitor changes that have occurred to the Earth’s ice sheets, ice caps and glaciers over the last few decades.
  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.
  High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing
  Dr SJ Waddell, Dr R Clare
Applications accepted all year round

Funding Type

PhD Type

The research project is concerned with development and implementation of signal and image processing algorithms for predicting a distortion function when viewing an artificial satellite or large space debris objects thorough atmospheric turbulence and with the aid of a 60 cm to 100 cm optical telescope.
  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.
  Advanced Target discrimination using fingerprinting based on High Resolution Range and micro-Doppler profiles
  Dr C Clemente, Prof J Soraghan
Application Deadline: 31 December 2019

Funding Type

PhD Type

Applications are invited for a PhD studentship fully funded by the University of Strathclyde and Leonardo MW. Ground-based airborne imaging radar systems are frequently required to provide enhanced situational awareness information beyond target detection and tracking.
  Eye Tracking with Machine Learning Enhanced Applied Games Techniques for Improved Visual Field Loss Rehabilitation
  Dr R Gibson, Dr G Cassidy, Dr D Seidel
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-011. The proposed project aims to develop machine learning based toolsets and techniques to evaluate and rehabilitate visual field loss through applied game conditions.
  Precision Medicine DTP - Data Science approaches to investigating the vascular footprint of Alzheimer’s disease for early disease detection
  Dr M Bernabeu, Dr T MacGillivray, Prof C Ritchie, Prof B Dhillon
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Changes in the brain that lead to Alzheimer’s disease (AD) are thought to start decades before cognitive symptoms emerge.
  Object Detection and Tracking Using High-Speed 3D Image Sensors
  Dr I Gyongy
Application Deadline: 29 June 2020

Funding Type

PhD Type

3D image capture by existing LIDAR and Time-of-Flight (ToF) sensors is typically limited to relatively low frame rates due to bottleneck issues in the data readout and/or the necessity for optical scanning to cover a sufficiently large field of view.
  PhD in Acoustic Sensing
  Prof K Horoshenkov
Application Deadline: 31 January 2020

Funding Type

PhD Type

A great opportunity has arisen for a research student (PhD) to join a prestigious Programme Grant funded by the Engineering and Physical Sciences Research Council (EPSRC) and led by the University of Sheffield (www.pipebots.ac.uk).
  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.
  Advanced Maritime Targets Recognition from SAR images exploiting target’s micro motions and AI
  Dr C Clemente
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a PhD studentship for which funding decision is pending.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Modelling the deformation of cells
  Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

Cells are the elementary building blocks of living organisms. The correct functioning of living organisms is therefore conditioned to the ability of living cells to withstand forces and deformations and to promptly adapt to their mechanical environment.
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