Imperial College London Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
University of Nottingham Featured PhD Programmes
United Kingdom
Aberdeen×
10 miles

Data Analysis PhD Projects, Programs & Scholarships in Aberdeen

We have 23 Data Analysis PhD Projects, Programs & Scholarships in Aberdeen

  • Data Analysis×
  • United Kingdom×
  • Aberdeen×
  • clear all
Order by 
Showing 1 to 15 of 23
  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.
  What is the optimal scale for fully autonomous municipal energy systems?
  Prof R McKenna, Dr M Gronwald
Applications accepted all year round

Funding Type

PhD Type

The energy transition requires the integration of large amounts of fluctuating, heterogeneously-spatially-distributed electricity into the energy system.
  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.
  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.
  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.
  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.
  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.
  Understanding and supporting personal security during walking journeys
  Dr M Beecroft, Dr C Cottrill
Applications accepted all year round

Funding Type

PhD Type

As well as being a travel mode in its own right, walking plays a critical function as a stage/multiple stages in almost any journey whether undertaken by public or private transport.
  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.
  Unlocking the potential of 5G through cross-layer optimisation
  Dr R Secchi, Prof G Fairhurst
Applications accepted all year round

Funding Type

PhD Type

Aberdeen University has a track record of successful development of Internet technologies, and the successful PhD candidate will join the Internet Engineering research activities to develop a focus on Internet TV video transport [1],[2].
  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.
  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.
  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.
  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.
  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.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2020
All rights reserved.