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 at the University of Technology Sydney.

Principal supervisor

Dr Milan Andrejevic

Faculty of Health, Psychology

View Dr Milan Andrejevic's profile

Eligibility criteria

Candidates should have: 

• 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.

Scholarship

This project includes funding for a living stipend scholarship at the UTS rate of $39,000 per annum (tax-exempt) with fee waivers provided.

How to apply

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). 

The application process is currently open and will continue to be open until the position has been filled. We highly encourage interested candidates to apply as soon as possible. Shortlisted candidates will be advised with further details.