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Computer Science & IT (processing) PhD Projects, Programs & Scholarships

We have 139 Computer Science & IT (processing) PhD Projects, Programs & Scholarships

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  Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content.
  Doctor of Engineering (EngD) Intelligent and directed laser-based spectroscopy(Fraunhofer UK Research Ltd)
  Prof D Reid, Prof S Marshall
Application Deadline: 28 February 2020

Funding Type

PhD Type

Laser-based spectroscopic techniques - encompassing LIBS, Raman and deep-infrared absorption spectroscopy – offer unprecedented performance for molecular and elemental diagnostics.
  Advanced Image Processing and Machine Learning Techniques for Complex Multidimensional Imaging Data
  Dr B Obara
Applications accepted all year round

Funding Type

PhD Type

PhD in Computer Science at Durham University, UK. The project will develop techniques and methods for processing and analysis of complex multidimensional image data, with applications in biology, medicine, engineering, remote sensing, and arts and humanities.
  Development of Computer Vision System for Remote sensing and processing of satellite images
  Research Group: Visual Computing
  Prof R Qahwaji
Applications accepted all year round

Funding Type

PhD Type

Remote sensing applications require the processing of satellite or drones images to detect regions of interest, and develop a variety of applications such as prediction of natural hazards, tracking of certain events, processing and visualisation of big data sets, etc.
  Event based signal processing for isotope identification at reduced power
  Dr A Hamilton
Application Deadline: 31 January 2020

Funding Type

PhD Type

Conventional detection systems typically comprise analogue sensors, analogue to digital conversion, digital signal processing and sometimes digital to analogue conversion, all driven by a synchronous clock.
  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.
  Compiler and Runtime Support for Scalable Big Data Systems
  Dr S Ray
Applications accepted all year round

Funding Type

PhD Type

Project objectives. Data systems are going through a major transition due to the challenges of Big Data processing. The volume and velocity of data generated from a variety of sources are far outpacing the available storage and processing capacity.
  Smart Data Analytics for Climate/Weather workflows
  Dr J Kunkel, Prof B Lawrence
Applications accepted all year round

Funding Type

PhD Type

Efficient post-processing of climate and weather data is key for the data analysis. At the moment, scientists use toolkits from Python like Pangeo and command line tools like CDO.
  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.
  Towards personalised coronary artery disease consideration using medical image processing and computational modelling
  Dr S Beier
Applications accepted all year round

Funding Type

PhD Type

This project is highly interdisciplinary, and will involve working with (and extending) a suite of existing software and computational models based on clinical imaging data.
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