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Personalised digital health

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

In collaboration with RowAnalytics Ltd, this project will build an, IoT enabled, intelligent patient monitoring and response system, where complex edge analytics and disease knowledge models are combined with a patient’s health data to provide fully personalized real-time advice. The student will leverage our previous successes in deep reinforcement learning for real-time control problems to develop new learning architectures that will allow fast convergence of networks despite the presence of non-stationarity. The complexity introduced by the highly non-stationary sensor inputs will be reduced with state of the art probabilistic models. At the same time the student will extend our deep reinforcement learning transfer work in a multi-agent setting. We envision that this will empower seamless cooperation and coordination in distributed sensor and actuator networks, ultimately leading to efficient decision-making in these challenging decentralised settings.
Collaborator: RowAnalytics Ltd

Further information:

Funding Notes

This studentship provides a maintenance allowance (currently £14,777 per year) and covers tuition fees at the home/EU level. Applicants from outside the EU are welcome but they will need to pay the difference between the home/EU and international fee levels; that difference is currently £12,290/year.

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