Open Positions:
PhD Studentship - Social Identities and Artificial Intelligence: Exploring the role of social identities in complex systems which include humans and machines - Lancaster University
Closing date for applications: 10 March 2023
Humans and machines are increasingly entwined in complex socio-technical systems. These systems often involve different groups of people and different kinds of technology. In order for these systems to function effectively (and exhibit resilience), there has to be trust and cooperation amongst not only the humans, but also between the humans and the machines. Shared social identity is known to facilitate cooperation and trust between humans. In this PhD we will explore the potential for social identity processes to facilitate cooperation and trust with machines.
The project will ask questions like, ‘Under what conditions can humans share identity with machines?’ or ‘Can machines learn to recognise social identity in humans?’. The project will be based in the Psychology Department at Lancaster University and is part of a larger multidisciplinary UKRI project to improve the socio-technical resilience and trustworthiness of autonomous systems.
Further information and application details available on findaphd.com.
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 - Human Factors of trustworthy autonomous transport systems - University of Southampton
The University of Southampton are inviting applications for a PhD studentship in Human Factors within the Transportation Research Group as part of the EPSRC funded Trustworthy Autonomous Systems project.
This PhD will sit within the Human Factors Engineering team within the Transportation Research Group and will focus on issues relating to trust in autonomous transportation systems. The scope of the project can be tailored to suit the interests of the applicant, but possible ideas include looking at the interaction between autonomous vehicles and vulnerable road users, such as active travellers. We are also interested in exploring new methods and developing a tool kit to assess Human Factors in relation to autonomous systems. Furthermore, there is an interest in reviewing the equality, diversity and inclusivity challenges within the transport domain and the development of autonomous systems.
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
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