PhD Studentship - AI-enabled Patient and Service Monitoring for Resilient Critical Care - University of York
This exciting PhD studentship opportunity will contribute to the TAS Node in Resilience's research by exploring how AI models could be developed, assured and deployed in complex hospital settings in order to explore the system response to patient deterioration, and the resilience of AI used as part of a complex adaptive sociotechnical system like the inpatient side of an acute hospital. The aim of the project is to improve the resilience of the healthcare service and help to reduce the number of avoidable adverse outcomes, even under conditions of operational uncertainty and change. The PhD student will have the unique opportunity to collaborate with a multidisciplinary team from the disciplines of Computer Science, Engineering, and Clinical Medicine, and with stakeholders ranging from developers and clinicians to regulators and end users. Candidates are invited to submit a short research proposal (maximum 1500 words) aligned with the topic of the PhD project, and a statement of purpose explaining how their competencies and previous experiences makes them an appropriate candidate for this position.
Further information and application details available on findaphd.com.
PhD Studentship - Uncertainty Mitigation for Resilient Autonomous Systems - University of York
This exciting PhD studentship opportunity will contribute to the TAS Node in Resilience’s research by examining decision-making uncertainty challenges raised by autonomous systems. The PhD student will have the unique opportunity to collaborate with project team members from the disciplines of Computer Science, Engineering, Psychology and Mathematics, and with autonomous systems stakeholders ranging from developers and operators to regulators and end users.
Further information and application details to be added soon