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Data Analysis PhD Projects, Programs & Scholarships in Leeds

We have 15 Data Analysis PhD Projects, Programs & Scholarships in Leeds

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  Rasch Theory and application to consumer goods
  Dr B W Henson
Application Deadline: 1 June 2020

Funding Type

PhD Type

Project Partners. Procter & Gamble. Procter & Gamble is one of the largest consumer goods companies worldwide, specialising in a range of personal care, healthcare, and homecare products.
  Modelling the social determinants of health, at the neighbourhood and individual level
  Prof A Heppenstall, Dr N Lomax
Application Deadline: 29 May 2020

Funding Type

PhD Type

The conditions in which we are born and live are the key drivers of health and health inequalities. We know that tackling these social determinants of health requires actions across many policy sectors, such as housing, education or employment.
  Health Opportunity for Patient Empowerment in Gestational Diabetes (HOPE-GDM)
  Research Group: Chemistry and Biosciences
  Prof A M Graham, Prof R Qahwaji, Prof A Locke
Applications accepted all year round

Funding Type

PhD Type

Gestational Diabetes is a temporary condition diagnosed at 24-28 weeks gestation, where the body is unable to maintain normal blood glucose levels due to insulin resistance during pregnancy.
  Personalised content exploration engine to support self-management of multiple chronic conditions
  Research Group: Applied Computing
  Dr D Thakker
Applications accepted all year round

Funding Type

PhD Type

The self-management model in health aims to empower a person to be more active participant in his or her own care [1]. Involving patients actively in their own care is critical for controlling disease management costs associated with monitoring and assessment.
  The Development of New Models for the Prediction of Vehicle Brake Judder Under Transient Conditions
  Research Group: Mechanical and Process Engineering
  Dr D Bryant
Applications accepted all year round

Funding Type

PhD Type

The increasing provision of regenerative braking on road vehicles will enable the friction brakes to be downsized, with an associated weight and cost saving, but their performance (torque generated, fade resistance, durability, pedal feel and resistance to the development of judder) must meet established user standards.
  Development of Efficient Models of Frictionally Induced Vibrations for the Prediction of Automotive Brake Squeal.
  Research Group: Mechanical and Process Engineering
  Dr D Bryant
Applications accepted all year round

Funding Type

PhD Type

Brake squeal continues to be a problem for vehicle manufacturers, generating noise pollution, customer dissatisfaction and significant warranty claims.
  Safety and Optimisation of Autonomous Vehicles
  Research Group: Mechanical and Process Engineering
  Dr JP Li
Applications accepted all year round

Funding Type

PhD Type

It is increasingly clear that a structured approach using artificial intelligence (AI) components operating within a framework of conventional logic will deliver autonomous vehicles (AVs), which have the potential to benefit the world by increasing traffic efficiency, reducing pollution and eliminating up to 90% of traffic accidents.
  Multi-vector Energy Systems Planning and Operation with High Penetration of Renewable Energy Sources
  Research Group: Mechanical and Process Engineering
  Dr G Mokryani
Applications accepted all year round

Funding Type

PhD Type

The UK has legally-binding targets to reduce its greenhouse gas (GHG) emissions and increase the use of renewable sources of energy.
  Development of Computer Vision System for Remote sensing and processing of satellite images
  Research Group: Visual Computing
  Prof R Qahwaji
Applications accepted all year round

Funding Type

PhD Type

Remote sensing applications require the processing of satellite or drones images to detect regions of interest, and develop a variety of applications such as prediction of natural hazards, tracking of certain events, processing and visualisation of big data sets, etc.
  Additive manufacturing biodiesel production nanocatalysts
  Research Group: Mechanical and Process Engineering
  Dr P Pimenidou
Applications accepted all year round

Funding Type

PhD Type

Biodiesel is currently produced by transesterification of oils and fats by using a homogeneous catalyst.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Dr S Konur, Dr D Thakker, Prof F Campean, Mr E Munive Hernandez
Applications accepted all year round

Funding Type

PhD Type

Information processing using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets.
  Data-driven and Model-based Design and Computational Analysis of Systems and Synthetic Biology
  Research Group: Applied Computing
  Dr S Konur, Prof M Gheorghe, Dr R Hamed
Applications accepted all year round

Funding Type

PhD Type

Understanding how biological cells and organisms function is a very challenging task, as biological systems are getting more complex.
  Security-Aware Safety Monitoring of IoT-enabled Smart Environment
  Research Group: Applied Computing
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Internet of Things (IoT) is a promising networking paradigm that integrates physical processes with the cyber world to provide useful services.
  Neurocomputational mechanisms of modularity in human motor control
  Research Group: School of Biomedical Sciences
  Dr I Delis
Applications accepted all year round

Funding Type

PhD Type

Human motor behaviour is the outcome of the combined action of an extensive neural circuit that generates and controls movement and the mechanical properties of the human body.
  EPSRC Centre for Doctoral Training in Molecules to Product

Funding Type

PhD Type

50 funded PhD studentships will be available over the next 5 years for UK and EU students. The Centre for Doctoral Training in Molecules to Product will train tomorrow's research leaders with the skills and know-how in designing, characterising and developing the next generation of chemical and material based products.
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