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Applied Mathematics (complexity) PhD Projects, Programs & Scholarships

We have 21 Applied Mathematics (complexity) PhD Projects, Programs & Scholarships

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  University of Warwick Centre for Doctoral Training in Mathematics for Real-World Systems

Funding Type

PhD Type

The MathSys programme provides students with the state-of-the-art mathematical modelling skills critical to address today's challenges in biomedicine and health sectors, modern industry and the digital economy.
  Analysis of ambient marine noise through machine learning to coherently process distributed dense spatio-temporal profiles
  Research Group: Agents, Interactions & Complexity
  Prof T Norman
Application Deadline: 3 April 2020

Funding Type

PhD Type

Supervisors. Mohammed Belal (NOC), Christine Evers and Tim Norman. Project description. Identifying and distinguishing among events in the marine environment is an essential task in developing better understanding of climate change, and animal and human behaviour across 71% of the planet.
  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.
  Machine Learning Based On-chip Detection of Security Attacks
  Research Group: Agents, Interactions & Complexity
  Prof T Norman
Application Deadline: 3 April 2020

Funding Type

PhD Type

Supervisor. Basel Halak and Gopal Ramchurn. Project description. The proliferation of the internet of things technology has made it easier than ever for adversaries to have access to computing devices in order to extract data or inject malware to take control.
  Nanoelectromechanical Coupled Nonlinear Oscillator Arrays for On-chip AI
  Research Group: Agents, Interactions & Complexity
  Prof T Norman
Application Deadline: 3 April 2020

Funding Type

PhD Type

Supervisor. Yoshi Tsuchiya and Klaus-Peter Zauner. Project description. For future AI hardware, reducing power consumption to implement advanced machine learning is the key issue.
  Safe, flexible and explainable reinforcement learning for autonomous systems
  Research Group: Agents, Interactions & Complexity
  Prof T Norman
Application Deadline: 3 April 2020

Funding Type

PhD Type

Supervisor. Tim Norman and Chris Freeman. Project description. For future AI systems to operate effectively in the real world, we need them to be trusted to work safely but also have the flexibility to adapt to changing circumstances.
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