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University of Bradford PhD Projects, Programs & Scholarships

We have 94 University of Bradford PhD Projects, Programs & Scholarships

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  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.
  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.
  Development of Ni based nanostructured coating by co-electrodeposition techniques
  Research Group: Mechanical and Process Engineering
  Prof T Khan
Applications accepted all year round

Funding Type

PhD Type

Composite coatings of pure metals is a common technique to improve the corrosion/oxidation and wear resistant surface properties of steels.
  Edge Intelligence for Safety Assurance of Time Critical Cyber Physical Systems
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical-Systems (CPS) harbor the potential for vast economic and societal impact in domains such as mobility, home automation, energy, agriculture, and delivery of health.
  Geopolymer reinforced concrete structural element
  Research Group: Centre For Sustainable Environments
  Prof A Ashour
Applications accepted all year round

Funding Type

PhD Type

Geopolymers is an alkali-activated amorphous aluminosilicious cementitious material. Common aluminosilicate material used for producing geopolymer is fly ash and slag, both industrial by products.
  Glioblastoma: A Nanotechnology Approach for Glioblastoma Targeted Therapy
  Research Group: Medical Engineering
  Dr F Sefat, Dr M Najafzadeh
Applications accepted all year round

Funding Type

PhD Type

Glioblastoma is a type of brain cancer. It’s the most common type of malignant brain tumor among adults and it is usually very aggressive, which means it can grow fast and spread quickly.
  Impact of Sediment Transport and Vegetation to the Reservoir Hydrodynamics within Fluvial Environment
  Dr J Pu
Applications accepted all year round

Funding Type

PhD Type

Reservoirs and dams are popular control mechanisms for different water resources around the world. However, lately, there have been increasing incidences of reservoir failure linked to sediment transport and vegetation within its environment, that have caused massive financial and social impacts.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Research Group: Applied Computing
  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.
  Machine Learning for Advanced Automotive Analytics
  Research Group: Advanced Automotive Analytics Research Institute
  Prof D Neagu, Prof F Campean
Applications accepted all year round

Funding Type

PhD Type

The University of Bradford’s Advanced Automotive Analytics (AAA) research laboratory is an interdisciplinary research unit building on research expertise and track record of the Automotive Research Centre and the Artificial Intelligence Research Group, particularly in automotive reliability and systems engineering modelling, big data and machine learning.
  Machine learning for Autonomous and Interconnected Vehicles
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical Mechatronic Systems such as autonomous vehicles, and intelligent transportation rely heavily on machine learning techniques for ever-increasing levels of autonomy.
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