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Data Analysis (analytics) PhD Projects, Programs & Scholarships

We have 49 Data Analysis (analytics) PhD Projects, Programs & Scholarships

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  Fully funded UK/EU PhD Scholarship in Predictive and Prescriptive Analytics for the Media Industry
  Prof A I Cristea
Application Deadline: 31 August 2019

Funding Type

PhD Type

A unique opportunity of an industrial-collaboration fully funded UK/EU PhD scholarship at the prestigious Durham University (world-wide top 79th by QS World University rankings and 5th in the UK by the Guardian) is offered by the ‘Intensive Industrial Innovation Programme’ (IIIP) and Distinctive Publishing Ltd, Newcastle.
  PhD Scholarship: Developing a Manufacturing Analytics Cockpit
  Prof T Margaria
Applications accepted all year round

Funding Type

PhD Type

In the CONFIRM research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems.
  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.
  Analytics to interpret acoustic emission generated by geotechnical infrastructure assets
  Dr A Smith
Applications accepted all year round

Funding Type

PhD Type

Proportions of the energy dissipated during deformation of particulate materials are converted to heat and sound. The high-frequency (>10kHz) component of this sound energy is called acoustic emission (AE).
  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.
  Data analytics Framework using Cyber Physical System (CPS) approach for industrial IoT devices.
  Dr U Raza
Applications accepted all year round

Funding Type

PhD Type

Reference Number. SciEng-UR-2018-1. Project Summary. The ever growing use of sensors, IoT based networked devices and machines on the factory shop floor has resulted in the continuous generation of high volume data which is known as Big Data.
  Automatic data fusion and analytics with application in the national health system
  Dr Y Zeng, Dr Y Chen
Application Deadline: 23 July 2019

Funding Type

PhD Type

PhD Fully-Funded Studentship. School of Computing and Digital Technologies. Teesside University and Medicor Software Limited. This PhD studentship opportunity is offered through the Intensive Industrial Innovation Programme (IIIP).
  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.
  Service-oriented Information Modelling and Analytics of Sensor Data for Designing Smart Thermal Desorption Products
  Dr Y Liu
Application Deadline: 30 September 2019

Funding Type

PhD Type

Thermal desorption equipment is used in a variety of areas, such as environmental monitoring and security, where high availability is either essential or highly desirable – requiring relatively shorter lead time for consumables, wear and tear parts, and spares.
  Data Analytics for Intelligent Integrated Energy Systems (WS15)
  Dr P Rowley, Dr E Barbour
Application Deadline: 16 August 2019

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
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