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Postdoctoral Research Fellow in Robot Learning, QUT, Australia

Melbourne Research Fellowships in University of Melbourne, Australia

Postdoctoral Research Fellow in Robot Learning: Join QUT’s Centre for Robotics (QCR) as a Postdoctoral Research Fellow to contribute to pioneering research in robot learning. This is a unique opportunity to engage in a nationally significant collaboration, working with a vibrant team to advance learning from demonstration in robotic systems.

Designation

Postdoctoral Research Fellow

DetailsDescription
TypeFull-time, fixed-term (24 months)
LevelAcademic Level B
SalaryStarting from $114,000 AUD + 17% superannuation
Leave20 days annual leave + paid personal/sick leave
LocationQUT Gardens Point campus, Brisbane, Australia

Research Area

  • Learning from very few demonstrations
  • Generalisation to new tasks, objects, and environments
  • Combining imitation learning with control, planning, scene understanding, and LLM-driven reasoning

Eligibility/Qualification

  • Completion of a PhD in robotics or a related field
  • Strong background in robot learning, with publications at top-tier venues (CoRL, RSS, etc.)
  • Proficiency in Python, PyTorch, and general software development on Linux
  • Experience with robot hardware: arms, mobile bases, cameras, and sensors
  • Excellent communication skills, both written and verbal
  • Ability to work collaboratively in a diverse team

Job Description

As a Postdoctoral Research Fellow, you will:

  • Lead and contribute to cutting-edge research in robot learning at QCR and the ARIAM Hub
  • Publish at top-tier venues in robotics and machine learning
  • Collaborate with researchers, engineers, and students to build reusable robot learning systems
  • Translate research into practical demonstrations, contributing to infrastructure robotics
  • Co-supervise PhD and undergraduate students
  • Actively participate in the QCR and ARIAM communities

How to Apply

To apply, please email the following materials to 📧 niko.suenderhauf@qut.edu.au:

  • A short video introducing yourself, your previous work, and your research vision for the next two years
  • Your CV, including a full list of publications
  • A motivation letter and research plan (max 3 pages)
  • Contact details for 1–2 referees, or attach reference letters

Last Date for Apply

Immediate start desirable; applications are open until the position is filled.

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