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data PhD Projects, Programs & Scholarships

We have 1,403 data PhD Projects, Programs & Scholarships

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  Establishing the reliability and validity of digital tools to collect patient generated data
  Dr J McBeth, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring.
  Personal Data Store, Smart Cities Data Marketplaces, and Sensing as a Service for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things envisions the creation of an environment where everyday objects (e.g., microwaves, fridges, cars, coffee machines) are connected to the Internet and make users’ lives more productive, efficient, and convenient.
  AI to the rescue of climate change, modelling air quality for cleaner urban planning
  Research Group: Computing, Informatics and Applications Research Group
  Dr L Babu Saheer, Dr J Zarrin
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. https://auth-authoring-prod.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/computing-informatics-and-applications.
  Developing a holistic data analytical model for reducing workload on doctors in NHS General Practices by safely shifting significant workload to other competent professionals (Advert Reference: SF19/EE/CIS/ALI)
  Dr A Ali, Dr S Khan
Applications accepted all year round

Funding Type

PhD Type

Primary care is critical to the effectiveness and sustainability of the health system in the UK. This is recognised in the current transformation of healthcare that aims to provide care and treatment in the community rather than through hospital-centric services.
  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.
  Semantic Web Technologies and Linked Data for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The ultimate goal of Semantic Web is to make the machine to understand the Internet data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL(Web Ontology Language).
  Automated Big Data Analysis - (studied entirely by Distance Learning)
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The amount of data in today’s world is ever increasing, and has even led to new terms describing this as in Big Data.
  Smart City Data Security, Gateways Efficient Routing and IP Capacity
  Research Group: Electronics and Telecommunications Engineering Research Group
  Dr S Yousef
Applications accepted all year round

Funding Type

PhD Type

Research Group. Electronics and Telecommunications Engineering Research Group. https://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/electronics-and-telecommunications-engineering-research-group.
  Scalable Big Data Systems on Modern Hardware
  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.
  Automated 3D Data Analysis using Artificial Intelligence - (studied by Distance Learning)
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The oil & gas sector and health sector has massive data sets in the form of seismic data and the health sector in MRI data that it needs to analyse in order to identify the location of hydrocarbons and also to assess the risk for drilling operations in a particular area, or to diagnose underlying health conditions.
  Leverhulme Wildfires PhD Studentship: Machine Learning and Data Assimilation for accurate wildfire predictions
  Dr R Arcurri, Prof C Prentice
Application Deadline: 15 June 2020

Funding Type

PhD Type

This project aims to incorporate machine learning algorithms in data assimilation processes to improve efficiency and accuracy of wildfire estimations and predictions.
  Multi-modal Data fusion using Deep Learning
  Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Big data in energy
  Dr E Barbour
Application Deadline: 5 July 2020

Funding Type

PhD Type

With current energy systems generating ever-increasing amounts of data, there are new opportunities arising both in terms of economics and sustainability.
  A unified approach based on semantic models and continuous deep learning to sensor data uncertainty and inconsistency in smart systems - Project ID SOC0025
  Prof X Liu, Dr Z Jaroucheh
Applications accepted all year round

Funding Type

PhD Type

Smart IoT (Internet Of Things) based Applications, such as smart city/building/home and smart factory, are characterized as sensor-driven technology, which has the tendency of producing huge volume of data with increasing velocity.
  Multi-model-based Data Fusion for exoskeleton system with Brain-Computer Interface
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

Wearable health device such as exoskeleton becomes a popular research topic with huge marketing potentials. The wearable health device can be widely for monitoring the health condition or as a tool for rehabilitation engineering.
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