Publisher
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Wafa Johal

Top university

6 months ago

PhD and Postdoctoral Positions in Robotics, Machine Learning, and Human–Robot Interaction at University of Melbourne University of Melbourne in Australia

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Australia

University

University of Melbourne

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Keywords

Computer Science
Mechanical Engineering
Human-robot Interaction
Robotics
Post Doc
Machine learning

About this position

The University of Melbourne is offering exciting opportunities for one Research Associate (Postdoctoral Fellow) and two PhD students to join the ARC Discovery Project titled "Robotic Trainers for a Skilled Workforce of the Future." This highly interdisciplinary project is led by Associate Professor Wafa Johal, in collaboration with Denny Oetomo, Jonathan Eden, and Vassilis Kostakos. The research focuses on robotics, machine learning, human motor learning, extended reality (XR), and human–robot interaction, aiming to develop innovative robotic trainers to enhance workforce skills.

The available positions include a 24-month postdoctoral research fellowship and two PhD student positions. The project offers a unique environment for candidates interested in cutting-edge research at the intersection of robotics, computer science, and mechanical engineering. Applicants should have a strong background in relevant fields such as robotics, machine learning, or human–robot interaction. The postdoctoral position requires a PhD in a related discipline, while PhD applicants should provide a CV and academic transcripts.

Funding details for the postdoctoral position are in accordance with University of Melbourne standards, and further information can be found on the official recruitment page. The application deadline for all positions is January 14, 2026. To apply for the postdoctoral role, candidates should visit the recruitment page and follow the instructions. PhD applicants are invited to send their CV and transcripts directly to the supervisors via the provided email addresses.

This is an excellent opportunity to work in a collaborative, interdisciplinary team at one of Australia's leading research universities, contributing to advancements in robotics, machine learning, and human–robot interaction. For more information, please refer to the official links provided.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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