Open Positions:
Research Assistant/Associate in Resilient and Intelligent Robotics for Autonomy - University of Sheffield
Contract type: Fixed-term until 30th April 2024 to start as soon as possible.
Closing date: 4 June 2023
We are seeking an enthusiastic researcher to join our research team to work on the cross-disciplinary REASON (REsilient Autonomous SOcio-cyber-physical AgeNts) project. The project funded by EPSRC under the umbrella of the Trustworthy Autonomous Systems Programme will develop demonstrators for resilient autonomous and collaborative robots in 4 different application domains (healthcare, social care, transportation and emergency response) and contribute to the development of next-generation resilient and intelligent robots and autonomous systems. Our vision is to deliver autonomous systems that can operate in close proximity to humans. Despite unprecedented technological advances, their resilience is severely limited by an inability to understand, model, and draw useful logical inferences that consider essential socio-technical aspects of their decisions and actions. In this project we will develop a comprehensive toolbox of general principles, mathematically based notations and models, as well as resilience-enhancing methods to facilitate deploying, operating and assuring highly resilient autonomous systems and systems of systems.
Further information and application details available on jobs.ac.uk.
PhD Studentship - Social Identities and Artificial Intelligence: Exploring the role of social identities in complex systems which include humans and machines - Lancaster University
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 - 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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