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Data Analysis PhD Projects, Programs & Scholarships in the UK

We have 439 Data Analysis PhD Projects, Programs & Scholarships in the UK

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Showing 1 to 15 of 439
  Applied Algebraic Topology in Geometry
  Dr R Hepworth, Dr M Grant
Applications accepted all year round

Funding Type

PhD Type

In recent years the techniques of algebraic topology have been applied to data analysis with great success, and the resulting subject areas of Applied Algebraic Topology and Topological Data Analysis have seen rapid growth.
  Statistical physics of DNA replication
  Dr A Moura, Prof C Romano
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to apply statistical physics and probability theory to the problem of DNA replication in living cells.
  Application of digital holography for underwater measurements
  Dr T Thevar, Dr K Nakkeeran
Applications accepted all year round

Funding Type

PhD Type

Underwater digital holography is a powerful technique to study marine organisms and marine pollution (e.g. micro-plastics), marine evolution, etc.
  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.
  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.
  Autonomous learning with Artificial Intelligence - (studied entirely by Distance Learning)
  Dr A Starkey, Dr M Giannaccini
Applications accepted all year round

Funding Type

PhD Type

Autonomous learning has become one of the latest buzzwords in today’s artificial intelligence and robotics. All the same, to realise the behaviour of even the simplest creature like a unicellular organism in an artificial agent remains extremely challenging with current artificial intelligence techniques.
  Bioinspired Robot Swarm for Monitoring Tasks
  Dr M Giannaccini, Dr A Starkey
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for one doctoral position in robotics at the School of Engineering, University of Aberdeen. The successful candidate will undertake research focusing on bioinspired swarm robotics for monitoring applications.
  Developing geospatial methods for resource assessments of renewable energy technologies
  Prof R McKenna, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

Energy planning processes require detailed data relating to the technical potential and associated costs of renewable energies. These data are employed by stakeholders and researchers to inform decision-making relating to future energy systems.
  Development of empirical and damage predictive models, for protective structures, under extreme loading
  Dr M Aleyaasin, Dr Amir Siddiq
Applications accepted all year round

Funding Type

PhD Type

Protective structures are the scarifying layers that can respond to severe loading, such as fire or explosion or missile impact or combination of such loads.
  Energy system integration of offshore energy: exploring synergies between oil and gas and renewables sectors
  Prof R McKenna, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

The offshore wind and Oil & Gas sectors are historically largely separate. This project seeks to exploit synergies between the two in order to reduce the costs associated with O&G abandonment.
  Energy system modelling of decentralised energy system transitions: integrating technical, economic and social dimensions
  Dr A Maheri
Application Deadline: 21 June 2020

Funding Type

PhD Type

Cities and municipalities are crucial areas of focus due to the large and growing populations living in them. But they are also complex dynamic systems, which present challenges to energy system modellers.
  Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal design, inspections, structural health monitoring and structural control
  Dr P Omenzetter, Dr P Dunning, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

Wind turbines are exposed to frequent structural damage increasing the cost of wind energy generation. To drive these costs down, this project will develop new automated methods for detection of structural damage to wind turbines by examining vibration responses measured by sensors attached to the structure.
  Marine risers: experimental damage detection, monitoring and numerical modelling using digital twins
  Dr P Omenzetter, Dr D Van der A, Prof E Pavlovskaia
Applications accepted all year round

Funding Type

PhD Type

Marine risers are critical components of any offshore oil and gas production operations linking subsea field developments with production and drilling equipment atop fixed or floating facilities.
  Multi-energy models of residential energy demand: further developments and international comparisons
  Prof R McKenna, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

Several researchers have developed bottom-up simulation models (Load Profile Generators, LPGs) for residential buildings in various international contexts such as the UK (CREST/CHAP), Germany, Sweden, and Japan.
  Soft Robotics Tactile Sensors for Healthcare
  Dr M Giannaccini, Dr E Chadwick
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for one doctoral position in soft robotics at the School of Engineering, University of Aberdeen. The successful candidate will undertake research focusing on modelling, designing and characterising bioinspired soft robotic sensors to enhance tactile sensing abilities in robots and prosthetics.
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