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Computer Science & IT PhD Projects, Programs & Scholarships in Reading

We have 30 Computer Science & IT PhD Projects, Programs & Scholarships in Reading

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  Accelerating molecular phylogenetic inference using high performance computing.
  Dr A Meade
Applications accepted all year round

Funding Type

PhD Type

Molecular phylogenetic inference, constructing evolutionary histories from molecular data, is an activity universal to all biological disciplines.
  Bioinformatics analyses of unknown metagenomics fraction
  Dr S Gweon
Applications accepted all year round

Funding Type

PhD Type

"DNA sequencing technology now allows us to investigate not only the identity of organisms that are present in complex environments like soil, but also what these tiny microbes are doing.
  Bioinformatics studies of protein structures, functions and their interactions
  Dr L J McGuffin
Applications accepted all year round

Funding Type

PhD Type

The computational study of protein structures, functions and their interactions is fundamental to our understanding of disease.
  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.
  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.
  Reinforcement Learning based Recommender systems in the Era of Big Data
  Dr H Liang
Applications accepted all year round

Funding Type

PhD Type

The general aim of this project is to develop novel algorithms to discover new knowledge about users’ individual interests, preferences, sentiment and emotional status, and information needs from large scale data, for the purpose of facilitating recommender systems to provide better personalized services for users.
  SCENARIO - Causal discovery algorithms for the study of climate change impacts on the global water cycle
  Research Group: SCENARIO NERC DTP
  Dr M.I. Hegglin, Dr V Ojha
Application Deadline: 24 January 2020

Funding Type

PhD Type

The water cycle plays a critical role in shaping the global environment and supporting life on Earth. Climate change is predicted to lead to changes in the water cycle, affect available water resources, and as a consequence endanger the livelihoods of societies especially in the developing world.
  Using digital technologies to understand the sensory experience of urban spaces
  Dr I.J Ewart, Dr Carolina Vasilikou
Applications accepted all year round

Funding Type

PhD Type

This research project aims to bring together digital technologies with ethnographic methods to examine how we can better map human perceptions and experiences of the built environment.
  Identification of tree species based on UAV captured images
  Dr H Wei, Prof J Ferryman, Dr G DiFatta
Applications accepted all year round

Funding Type

PhD Type

Computer Computer vision technology has been found to be an important application in remotely sensed data understanding. This research exploits high‐resolution images captured by UAV payload cameras to identify tree species.
  Learning to Learn: Multi-Task learning, transfer learning and meta-learning
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

Multi-task learning, transfer learning, and meta-learning are three dimensions (sub-fields) of learning techniques, strategies and frameworks currently being investigated in machine learning communities.
  Complex network control of stem cell derived cultures
  Prof S Nasuto, Dr E Delivopoulos, Dr Y Hayashi
Applications accepted all year round

Funding Type

PhD Type

"In order to create a next generation of interfaces between prosthetic devices and the nervous system or to create next generation of intelligent robots – hybrids between artificial and biological systems, it is necessary to understand the principles that allow biological networks to achieve control of bodies.
  Biomechanics and activity analysis in the wild
  Prof W Harwin, Prof F Hwang
Applications accepted all year round

Funding Type

PhD Type

Movement analysis and recording has been confined to dedicate gait and motion capture facilities, but this only only records movements for a single part of one day in an unusual environment.
  Designing Technology for Personalised Nutrition
  Prof F Hwang
Applications accepted all year round

Funding Type

PhD Type

This PhD investigates the design of technology to provide personalised nutrition advice. Non-communicable diseases such as diabetes and cardiovascular disease are major challenges globally, and can be addressed, in part, by eating a healthier diet.
  Smart textiles to support rehabilitation and daily living activities post stroke
  Prof R McCrindle
Applications accepted all year round

Funding Type

PhD Type

"The aim of this PhD is to investigate how smart textiles and/or other wearables can be used to assist people who have had a stroke with their communication, rehabilitation, and/or reengagement in daily living activities and hobbies.
  Machine learning for affective manipulation in music Brain Computer Interfaces
  Prof S Nasuto, Prof F Hwang
Applications accepted all year round

Funding Type

PhD Type

"At the University of Reading we have created one of the first music Brain Computer Interfaces – a system that monitors the emotional states of the subject and as a result generates commands changing the nature of synthetically generated live music in order to drive the emotional state of the subject in the desired direction.
  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.
  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.
  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.
  Multi-objective optimization data analytics for decision support in exploring different system designs
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Many data modeling problems can be formulated as standard optimization problems in which a scalar cost function is minimized with respective to some parameters in system design.
  Robust Deep Time Series Model Selection for Effective Decision Support
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Time series data consists of sampled data points taken over time. Time series modeling and prediction are one of the most fundamental problems and have been subject to intensive researches.
  The Economics of Superstars: Wages in Sport - understanding using primary data the changes over the postwar period in sport for its foremost performers
  Dr J Reade, Dr S Jewell
Applications accepted all year round

Funding Type

PhD Type

The work of Sherwin Rosen (1981) established a literature on the economics of superstars - an attempt to explain the very high premia top performers in a given field are able to attract.
  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.
  Multi-view approaches for content-based image clustering
  Prof X Hong, Dr H Wei, Prof J Ferryman
Applications accepted all year round

Funding Type

PhD Type

Human and animal learning are naturally in the so-called semi-supervised mode of learning, i.e. with a limited teaching but more of self-training experiments.
  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.
  Functional Programs as Spreadsheets
  Dr M Lester
Applications accepted all year round

Funding Type

PhD Type

Spreadsheets are widely used as a calculation tool in scientific modelling, business and finance. A spreadsheet application is a standard part of any office productivity suite.
  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.
  Epidemic Propagation for Decentralised Consensus in Blockchain
  Dr G DiFatta, Prof A Badii
Applications accepted all year round

Funding Type

PhD Type

In Blockchain all nodes must interact and agree seamlessly, validating blocks and transactions. Consensus in Blockchain can be achieved using Proof-of-Work or Proof-of-Stake.
  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.
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