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University of Manchester Electrical & Electronic PhD Projects, Programs & Scholarships

We have 25 University of Manchester Electrical & Electronic PhD Projects, Programs & Scholarships

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  Very High Energy Electron (VHEE) Radiotherapy: A Potential New Paradigm in Cancer Treatment
  Prof R M. Jones, Dr D Angal-Kalinin, Dr A Subiel
Applications accepted all year round
We seek a candidate to work on dose studies and machine optimisation for VHEE treatment, a potential new paradigm in radiotherapy.
  A hybrid-systems approach to uncover complex networks behaviour
  Dr E Navarro-Lopez
Applications accepted all year round
A synchronised school of fish swimming in the sea; a network of computer systems; the evolution of a flock of birds; the controlled motion of swarm satellites; the cooperation of several robotic systems to accomplish a common goal; social networks; water or electrical power distribution systems.
  Analysis and control of hybrid dynamical systems: an insight into switched control systems
  Dr E Navarro-Lopez
Applications accepted all year round
Hybrid dynamical systems have emerged as a novel framework with potential for improving the performance and capabilities of a wide variety of engineering systems.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round
Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Automatic Detection and Repair of Software Vulnerabilities in Unmanned Aerial Vehicles
  Dr LC Cordeiro
Applications accepted all year round
Unmanned aerial vehicles (UAVs) have attracted significant attention due to its emergent importance in a wide range of applications, including military and civil areas.
  Automatic Emotion Detection, Analysis and Recognition.
  Dr K Chen
Applications accepted all year round
Affective computing is a branch of Artificial Intelligence that relates to, arises from, or deliberately influences emotion and other affective phenomena.
  CompSci2NetSci: building the next generation of evolving complex networks
  Dr E Navarro-Lopez
Applications accepted all year round
A complex network can be interpreted from the graph theory perspective as a large number of interacting and interdependent systems (nodes) coupled in a non-trivial and non-regular way (links).
  Computing beyond a million processors - bio-inspired massively parallel architectures.
  Dr J Garside, Prof S Furber, Dr D Lester
Applications accepted all year round
The SpiNNaker project aims to deliver a computing system that incorporates a million embedded ARM processors with the objective of supporting simulations of very large-scale systems of spiking neurons in real time.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round
Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Dissipativity-related properties in hybrid automata
  Dr E Navarro-Lopez
Applications accepted all year round
This research explores energy-related properties of hybrid systems, especially in hybrid automata. Here, energy refers to the abstract energy of the system which may not have a physical interpretation.
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