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University of Southampton, Faculty of Engineering and Physical Sciences Computer Science & IT PhD Projects, Programs & Scholarships

We have 36 University of Southampton, Faculty of Engineering and Physical Sciences Computer Science & IT PhD Projects, Programs & Scholarships

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Showing 1 to 10 of 36
  3D imaging technology roadmap and software tool for X-ray histology
  Research Group: Bioengineering
  Dr P Schneider
Application Deadline: 31 July 2020

Funding Type

PhD Type

Supervisor. Philipp Schneider, Philip Basford, Peter Lackie (Faculty of Medicine). Project description.
  Aerospace optical sensors (GE Aviation)
  Research Group: Photonic Systems Circuits & Sensors
  Dr C Holmes
Application Deadline: 1 July 2020

Funding Type

PhD Type

Supervisor. Dr Christopher Holmes, Prof Ling Wang. Project description. Sensors are crucial components for flight. In addition to providing information to the flight crew, they are increasingly providing information for Artificial Intelligence systems, in order to predict and thus avoid faults.
  AI hardware accelerators
  Research Group: Agents, Interactions & Complexity
  Prof T Prodromakis
Application Deadline: 3 July 2020

Funding Type

PhD Type

Supervisor. Themis Prodromakis, Geoff Merret and Alexander Serb. Project description. The aim of this PhD studentship is to develop ultra-low power AI hardware accelerators that can be used for delivering advanced computing capabilities at the edge.
  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 and Mechanism Design for Optimal Routing of Connected Vehicles
  Research Group: Agents, Interactions & Complexity
  Dr E H Gerding
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Sebastian Stein. Co-supervisor Enrico Gerding, Paul Brookes (Siemens). Project description. Connected and autonomous vehicles have the potential to make better use of the existing road infrastructure.
  Artificial Intelligence for the Future of Society (AIFS): Knowledge Disruptors and Thought Leaders
  Research Group: Web and Internet Science
  Dr L A Carr
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Professor Les Carr & Professor Jacek Brodzki. Project description. The Web Science Institute at the University of Southampton is offering a 4-year PhD position in collaboration with Elsevier.
  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.
  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.
  Dissipative particle dynamics (DPD)
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Project description. Scaling simulations of biological and chemical systems is reaching limits. the computational cost of simulating a physical system scales at least as fast as the cube of its linear dimension.
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