Open Postions:

PhD Studentship - Applying Human Factors for Resilient Future Transport Systems - University of Southampton

The University of Southampton are inviting applications for a PhD studentship in Human Factors Engineering within the Transportation Research Group. The project will focus on resilience within automated transport systems, developing methods to assess resilience and enhance the response of transport networks to possible disruptions. It will develop methods to understand how automated transport systems meet technical specification as well as how they adhere to social legal, ethical, empathy and cultural rules. This PhD project will sit within the wider EPSRC funded project into Trustworthy Autonomous Systems Node in Resilience and undertake research across a variety of different automated domains. (Closing date 31 July 2022 for standard admissions, but later applications may be considered depending on the funds remaining in place.)

Further information and Application

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

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 to be added soon

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