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University of Sydney

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University of Sydney PhD Scholarship

PhD Scholarship in Machine Intelligence for Human-Robot-Infrastructure Interaction in Complex Projects University of Sydney in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

PhD scholarship opportunity; funding details are not specified in the post and are referred to the attached PDF.

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Country

Australia

University

University of Sydney

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Keywords

Computer Science
Psychology
Information Technology
Industrial Engineering
Management
Project Management
Human Behavior
Human-robot Interaction
Robotics
Multi-agent System

About this position

The School of Project Management at the Faculty of Engineering, University of Sydney is advertising a PhD Scholarship in Machine Intelligence Emerging from Human-Robot-Infrastructure Interaction in Complex Projects.

The project is supervised under the guidance of the incoming academic Dr Xiaoshan Zhou and is aimed at a candidate interested in human-automation complementarity, multi-agent human-AI teaming, and the design of computational and robotic systems that can learn from, adapt to, and collaborate with people in real-world environments.

This opportunity sits at the intersection of Computer Science, Robotics, Management, and related areas such as Psychology and Industrial Engineering. The research emphasis is on human cognition and behaviour, intelligent automation, and complex project environments.

The post indicates that detailed information on eligibility requirements, application process, and project details is available in the attached PDF. No deadline or funding amount is stated in the text provided.

Prospective applicants should review the PDF carefully and follow the application instructions provided by the School of Project Management at the University of Sydney.

Funding details

PhD scholarship opportunity; funding details are not specified in the post and are referred to the attached PDF.

What's required

Applicants should be a PhD candidate with strong interest in human-automation complementarity, multi-agent human-AI teaming, human cognition and behaviour, and the development of computational and robotic systems for real-world environments. The post asks for a deeply curious candidate motivated to learn from and collaborate with people in complex projects. Detailed eligibility requirements are said to be in the attached PDF.

How to apply

Review the attached PDF for eligibility criteria, project details, and the application process. Follow the instructions in the PDF to prepare and submit the application. Use the LinkedIn post and linked page for context if needed.

More information can be found here

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