Psychology Discipline and Robotics Institute at the University of Technology Sydney in Australia are offering a fully funded PhD position for interdisciplinary research into using computational models to improve human-robot collaboration. Project description Collaboration between humans and robots is rapidly increasing, creating a need to understand how emerging intelligent capabilities shape human moral cognition, the emergence of new norms, and the distribution of responsibility within human-robot teams, and how these changes in turn shape human judgement and decision making. Successful candidate will have access to cutting edge robotics facilities and collaborate with robotics engineers to conduct research. This will entail: * developing measurement tools, experimental designs, and innovative psychological tasks; * reviewing literature in the field of moral psychology, cognitive science, human-robot interaction, artificial intelligence, robotics, decision science, and other relevant fields; * planning, administering, and running studies with human participants; * applying a variety of quantitative data analysis approaches; * working in multidisciplinary teams; * communicating research to a variety of stakeholders and the academic community; * preparing manuscripts for publication in leading multidisciplinary and psychological science journals. Successful candidate will gain a broad set of interdisciplinary skills in an area poised to have a transformative societal impact. This experience will position candidates as contributors in shaping the future of artificial intelligence technology in an increasingly automated world. The project will be supervised by Dr Milan Andrejevic, a Lecturer in Psychology, and Dikai Liu, a Distinguished Professor in Robotics from the University of Technology Sydney. Candidate requirements: * Honours or Masters degree in: Psychology, Cognitive Science, Neuroscience, and a good grasp of statistics OR other related and relevant discipline and a strong interest in psychological science; * Experience with quantitative methods and experimental psychology approaches; * Excellent academic writing skills; * Experience with, and/or willingness to learn coding and using statistical software (R, Matlab, Python, and/or alike); * Willingness to learn mathematical / computational models of human cognition; * Demonstrated work ethic. Also desirable: * A record of contributing to academic publications; If you would like to apply for this project, please send your CV and Research Proposal to Milan Andrejevic (Milan.Andrejevic@uts.edu.au) and Dikai Liu (dikai.liu@uts.edu.au). Links: PhD position description<https://sites.google.com/uts.edu.au/coghumrobophdadvert/project-description?...> University of Technology Sydney<https://www.uts.edu.au/> Psychology Discipline<https://www.uts.edu.au/about/faculties/health/graduate-school-of-health/psyc...> Robotics Institute<https://www.uts.edu.au/research/robotics-institute> Dr. Milan Andrejevic<https://profiles.uts.edu.au/Milan.Andrejevic> Dist. Prof. Dikai Liu<https://profiles.uts.edu.au/Dikai.Liu> - Dr. Milan Andrejević (he/him) Lecturer Psychology | Graduate School of Health University of Technology Sydney +61 2 9514 4126 Level 10, 100 Broadway, Chippendale NSW 2008 I acknowledge the Gadigal People of the Eora Nation upon whose ancestral lands we work and gather at UTS, and their traditional custodianship over knowledge for this land. I pay my respects to their Elders past and present. UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.