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University of Reading PhD Projects, Programs & Scholarships

We have 226 University of Reading PhD Projects, Programs & Scholarships

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  Get paid to do postgraduate study! South East Network for Social Sciences (SeNSS) funding

Funding Type

PhD Type

 Get paid to do postgraduate study!. The South East Network for Social Sciences (SeNSS) offers funding of up to £20,000 per year for you to undertake postgraduate studies.
  Joint Social Sciences and Environmental Sciences PhD studentship

Funding Type

PhD Type

 Joint Social Sciences and Environmental Sciences PhD studentship. What am I applying for?. • An expert academic team has developed an inter-disciplinary Social Sciences and Environmental Sciences research project, and are looking for a student to work with them on this project.
  SeNSS Collaborative Competition

Funding Type

PhD Type

You will join an expert team of leading Social Scientists and an external partner (from industry, government, or an NGO, in the UK or abroad) who have already developed and defined a research project.
  SeNSS Student-led Competition

Funding Type

PhD Type

 What is a SeNSS student-led studentship?. A student-led studentship is one where you design your own research proposal, and identify an expert academic supervisor you would like to work with.
  SCENARIO - Understanding Acute Oak Decline using X-ray micro-tomography and leaf reflectance: linking reduced tree water transport capacity to changes in xylem and leaf cellular structure.
  Dr F Gerard, Dr G Barrett
Application Deadline: 24 January 2020

Funding Type

PhD Type

First recorded in the UK in the early 1900’s, Acute Oak Decline (AOD) is widely recognised as a threat to native English oaks. Outbreaks of disease have gone through several historic and distinct episodes with the current, ongoing spread having started around 2002.
  A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
  Prof X Hong, Prof W Harwin, Prof R Mitchell
Applications accepted all year round

Funding Type

PhD Type

Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event.
  Artificial Intelligence based analysis and exploration of medical, health and biobank data
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

A large number of forums offer medical and health-related data such as UK Biobank. In this project, we explore the potential of machine learning tools and techniques to efficiently solve the problem of a large domain.
  Automated Verification of WebAssembly Programs
  Dr M Lester
Applications accepted all year round

Funding Type

PhD Type

The new language WebAssembly is gaining popularity as a compilation target for Web applications. Unlike many modern languages, it has been carefully specified using a reference implementation in Standard ML.
  Big Data Analytics and Mining: investigating and testing distributed formulations of data mining algorithms that are suitable for the MapReduce paradigm and for other distributed computing approaches
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Big Data indicates very large and complex data sets that are difficult to process using traditional and sequential data processing applications.
  Big Data Mining for Fighting Dementia
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Dementia describes a set of symptoms that can include memory loss and difficulties with thinking, problem-solving or language. Alzheimer’s Disease (AD) is the most common cause of dementia and is a terminal neurodegenerative disease.
  Computer Vision and Remote Sensing – Terrain Feature Classifications
  Dr H Wei, Prof J Ferryman, Prof X Hong, Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

The research is mainly concerned with automated image understanding and processing of remotely. sensed data, such as multispectral/hyperspectral images, as well as LIDAR data, which provide height information of terrain.
  Data Mining and Visualisation in High Dimensional Spaces
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

The mining and the visualisation of data in high dimensional feature spaces require the design of efficient algorithms. In high dimensional data spaces distance functions lose their usefulness and optimisation techniques, machine learning and data mining algorithms are very inefficient and ineffective.
  Data Science approaches for the analysis and monitoring of atypical brain states
  Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

In many neurological disorders, comparable initial neurological deficits may result in a wide range of functional and behavioural deficits in the long term, as the condition develops.
  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.
  Deep Neuroevolution for Multi-task Learning
  Dr G DiFatta, Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

There is an opportunity to apply for a PhD student position in Machine Learning. The overarching aim of this project is to contribute to theory and applications of machine learning with effective deep Neuroevolution algorithms and optimization methods.
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