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University of Reading PhD Projects

We have 187 University of Reading PhD Projects

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  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.
  Developing methods for the analysis of chromosome conformation data
  Dr T Thorne
Applications accepted all year round

Funding Type

PhD Type

Chromosome conformational data allows us to investigate the three dimensional structure of the genome. This project will involve developing novel computational and statistical methods for the analysis of genomic contact data.
  Developing pipelines for the inference of gene regulatory networks
  Dr T Thorne
Applications accepted all year round

Funding Type

PhD Type

Gene regulatory networks are fundamental to many processes that take place in the cell. However learning the structure of these networks from high-throughput experimental data and deriving useful biological insights is challenging.
  Development of a Visual Analtyics Methodology for Streaming Data
  Dr F Stahl
Applications accepted all year round

Funding Type

PhD Type

The velocity aspect of Big Data Analytics stems from recent advances in hardware and software technology to sense, capture process and communicate data.
  Development of Scalable Analytics Methods for real-time Data Streams
  Dr F Stahl
Applications accepted all year round

Funding Type

PhD Type

"Recent advances in data acquisition and processing hardware stress state-of-the-art data processing hardware. This project is developing new computationally mechanisms for the analytics of real-time streaming data for applications such as.
  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.
  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.
  Identification of tree species based on UAV captured images
  Dr H Wei, Prof J Ferryman, Dr F Stahl, 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.
  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.
  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.
  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.
  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.
  Time series modeling and prediction using deep learning
  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.
  Towards Conversational Recommender Systems In the Era of Big Data
  Dr H Liang
Applications accepted all year round

Funding Type

PhD Type

To be able to cope with complex, huge, diverse, and dynamic data, people need the assistance of intelligent information systems such as recommender systems for finding, sorting, and filtering the available information.
  Applied Economics: What works for firms and the gender pay gap?
  Prof G Razzu, Dr C Singleton
Applications accepted all year round

Funding Type

PhD Type

A vast literature has studied the determinants of gender pay gaps (see for reviews Altonji and Blank, 1999; Weichselbaumer and Winter-Ebmer, 2005; Blau and Kahn, 2017).
  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.
  Modern and contemporary social and political theatre
  Dr V Angelaki
Applications accepted all year round

Funding Type

PhD Type

In the recent period we have been witnessing a considerable turn towards experimentation and formal flow on British stages. For a theatre culture that had previously been, with few notable exceptions, profoundly embedded in traditions of social realism, the turn has been as notable as it has been significant.
  A Nutrigenetics approach to study gene-diet interactions on Cardio-metabolic diseases in different ethnic groups
  Dr V Karani, Prof J Lovegrove
Applications accepted all year round

Funding Type

PhD Type

"We are seeking a highly motivated candidate for a PhD project that will focus on genetic epidemiology and statistical genetics.
  Biotechnological production microbial lipids rich in gamma-linolenic acid (GLA)
  Dr A Chatzifragkou, Dr D Charalampopoulos
Applications accepted all year round

Funding Type

PhD Type

Linolenic acid (GLA, ω-6 family) is a medicinally and nutritionally important polyunsaturated fatty acid (PUFA) with a broad spectrum of applications, extending from food supplements to anti-cancer formulations.
  Extracellular vesicles in health and disease
  Prof P Yaqoob, Dr D Tannetta
Applications accepted all year round

Funding Type

PhD Type

Endothelial dysfunction (ED) is associated with classical and emerging risk factors of cardiovascular disease (CVD), correlates with disease progression and is an independent predictor of the risk of future cardiovascular events.
  Integrative approach to valorise vegetable waste
  Dr M Oruna-Concha, Assoc Prof P Jauregi, Dr L Methven
Applications accepted all year round

Funding Type

PhD Type

The FAO estimates that around one third of all food produced worldwide is not consumed, which represents around 1.3 billion tons per year, and is wasted throughout the whole food chain, from farmers to consumers.
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