Open Positions:
PhD Studentship - Human-AI Collaboration in Chemical Experiments - University of York
The University of York are inviting applications for a PhD studentship in Human-AI Collaboration in Chemical Experiments within the Computer Science department, as part of the EPSRC funded Trustworthy Autonomous Systems project.
In this exciting PhD studentship opportunity, we are teaming with the University of York’s Centre for Doctoral Training in the area of Autonomous Robotic Systems for Laboratory Experiments (Albert CDT), to explore how AI-enabled autonomous robots can collaborate with humans in carrying out experiments in a Chemistry lab. The robot will need to share space and equipment with humans. It can work side-by-side with humans or continue the work out of hours. The challenges come from the need for awareness of human presence, and from the uncertainty in the environment of the experiments. Humans may change the position of equipment and materials, or may forget to follow some critical procedures, and yet the robot must be able to carry out their tasks resiliently and safely.
The project will investigate neuro-symbolic AI methods to perceive, represent and reason about interactions between lab technicians and researchers and AI-enabled autonomous systems, with the aim to enable their resilient collaboration through coordination and adaptation.
The PhD student will have the unique opportunity to collaborate with a multidisciplinary team from Computer Science and Chemistry, and with stakeholders ranging from lab technicians to roboticists. The studentship is designed to offer exceptional access to resources, training and career development and networking opportunities.
The successful candidate will conduct their research under the supervision of Professors Radu Calinescu and Ana Cavalcanti at the University of York.
Further information and application details available on findaphd.com.
PhD Studentship - Human-AI Collaboration for Resilient Emergency Care - University of York
The University of York are inviting applications for a PhD studentship in Human-AI Collaboration for Resilient Emergency Care within the Computer Science department, as part of the EPSRC funded Trustworthy Autonomous Systems project.
The project will investigate methods for representing and reasoning about interaction between emergency operators and AI-enabled autonomous systems, with the aim to enable their resilient collaboration through coordination and adaptation.
The PhD student will have the unique opportunity to collaborate with a multidisciplinary team from Computer Science and Emergency Care, and with stakeholders ranging from developers and emergency responders to regulators and end users. The studentship is designed to offer exceptional access to resources, training and career development and networking opportunities. Candidates are invited to familiarise themselves with the aims of the Resilience node
The successful candidate will conduct their research under the supervision of Professor Radu Calinescu at the University of York, Dr Amel Bennaceur at the Open University, and Dr Nigel Rees, Assistant Director of Research & Innovation at the Welsh Ambulance Service NHS Trust.
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.
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