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University of Southampton Data Analysis PhD Projects, Programs & Scholarships

We have 17 University of Southampton Data Analysis PhD Projects, Programs & Scholarships

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  AIFS: Privacy and data security in hyperconnected urban communities
  Research Group: Web and Internet Science
  Prof W Hall
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Professor Wendy Hall. Co-supervisor Professor Pauline Leonard. Project description. The Web Science Institute is offering a PhD research project in AI for the Future of Society (AIFS) in collaboration with Fawley Waterside Ltd.
  Artificial Intelligence and Machine Learning for Efficient Collaborative Design
  Research Group: Computational Engineering and Design
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description. Modern high value engineering design activities can involve collaboration between many engineers across many departments and perhaps even different countries around the world.
  Artificial intelligence for smart engines
  Research Group: nCATS
  Dr L. Wang
Application Deadline: 31 August 2020

Funding Type

PhD Type

Project description.
  Artificial Intelligence for the Future of SocietyCities
  Prof W Hall
Application Deadline: 8 August 2020

Funding Type

PhD Type

Supervisor. Professor Dame Wendy Hall. Co-supervisor. Professor Pauline Leonard. Project description.
  Data Integrated Modelling of Fluid Flows and Forces
  Research Group: Fluid-Structure Interactions
  Dr G Weymouth
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. G D Weymouth. Co-supervisor , B Ganipathisubramani. Project description. Computational Fluid Dynamics (CFD) is increasingly used to analyze the hydrodynamic features of the built and natural environment; from warming ocean currents to high-speed ocean liners.
  Design of propeller and propeller-energy efficiency devices for realistic ship operations
  Prof D Hudson
Application Deadline: 9 August 2020

Funding Type

PhD Type

Supervisor. Dominic Hudson, Joe Banks, Dominic Taunton (Maritime Engineering). Project description. International shipping contributes ~ 3.1% of global GHG emissions, which without change may increase to 18% by 2050.
  Effective Fusion of Spatially and Temporally Sparse Data for Maritime Autonomous Systems
  Research Group: Fluid-Structure Interactions
  Dr J Downes
Application Deadline: 30 June 2020

Funding Type

PhD Type

Supervisor. Dr Jon Downes. Project description. A fully funded industrially supported opportunity to work in the area of Maritime Autonomous Systems.
  Efficient Topological Decision Making
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description. Engineering design essentially involves making decisions with respect to the geometry of a component.
  Embedding Uncertainty In CAD
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description. No mechanical component is ever as the designer intended either after manufacture or after time in service.
  Finite element model validation from Stereo Digital Image Correlation measurements
  Prof F Pierron
Applications accepted all year round

Funding Type

PhD Type

Supervisor. Prof. Fabrice Pierron. Co-supervisor Dr Lloyd Fletcher, Dr Pascal Lava. Project description. Digital cameras are now an integral part of our everyday lives (smartphones, CCTVs), costs are going down and performance is shooting up.
  Integrated geoscience approach to cost-effective seabed characterisation as an enabler for offshore renewables
  Research Group: Infrastructure Division
  Prof S Gourvenec
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Susan Gourvenec. Co-supervisor Justin Dix, and Tim Henstock. Project description.
  Intelligent human-machine interaction for engineering design
  Research Group: Computational Engineering and Design
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description.
  Machine learning for inverse design of materials for skyrmionics
  Research Group: Computational Engineering and Design
  Dr O Hovorka
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr Ondrej Hovorka. Co-supervisor Prof Hans Fangohr. Project description. Skyrmionics is emerging as one of the most significant areas in magnetism with prospects to shape the research over the next few decades.
  Sensing tribology within heavy machines
  Research Group: nCATS
  Prof R J K Wood
Application Deadline: 1 May 2020

Funding Type

PhD Type

Supervisor. Robert Wood. Co-supervisor Terry Harvey. Project description. This PhD is aligned with a major EPSRC funded research being conducted at the national centre for advanced tribology at Southampton (nCATS) in collaboration the machine learning and sensors research groups in ECS.
  Using Artificial Intelligence to study variations in gas turbine performance
  Research Group: Computational Engineering and Design
  Dr D Toal
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Dr. D.J.J. Toal. Co-supervisor Prof. A.J. Keane. Project description. Artificial Intelligence (AI) allows the rapid processing of images.
  Analytics for condition based maintenance
  Dr A Zemkoho, Dr S Coniglio
Applications accepted all year round

Funding Type

PhD Type

Siemens Rolling Stock UK is sponsoring a PhD project on Data Analytics and Operational Research. This project will focus on developing a combination of data- and model-driven approaches to support the condition based maintenance of rolling stock equipment.
  Global supply chain and resource management for aircraft fleets in uncertain environments
  Research Group: Operational Research
  Dr S Coniglio, Prof J Fliege
Applications accepted all year round

Funding Type

PhD Type

We want to develop novel mathematical models and optimisation algorithms for joint supply chain and resource management in an uncertain environment.
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