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Opportunities

MONOCENTRIC

Current Postings

Shiny 3D Vision Jobs! We're recruiting a 3-year Postdoctoral Research Associate in 3D reconstruction of reflective objects. Have experience with plenoptic regressions like NeRF, Gaussian Splatting, or Light Fields and an interest in helping robots see and do? We want to hear from you! Position closes Jun 11th, 2024 Sydney Time. Details at the University Job Site here. This is one of multiple postdoctoral and PhD roles that are part of the ARIAM Research Hub. All postings will be available at the ARIAM Hub website.

About Us

We are part of the Australian Centre for Robotics and Sydney Institute for Robotics and Intelligent Systems at the University of Sydney. We engage in theoretical and applied research at the intersection of robotics and imaging. For more information please contact donald.dansereau@sydney.edu.au.

Postdoctoral researchers

We're especially interested to hear from experts in:
  • Optics and computational imaging
  • Perception for robotics in fast driving, flying, and manipulation
  • Learning for design, manufacture and interpretation of novel imaging technologies
  • Machine learning with multi-dimensional, multi-modal content
  • Active perception
  • AR / VR
IVER

PhD Students

Our students push the limits of perception in robotics. Excellent candidates will qualify for full tuition, stipend, and top-up scholarships.
  • Machine learning for camera design and interpretation
  • Novel cameras: computational imaging devices spanning single-photon sensors, nano-optics, solid-state LiDAR, femtosecond imaging, event cameras, multispectral, light field imaging...
  • Vision for small and fast robots: flying, driving, fast manipulation
  • Long-range imaging in participating media: underwater, fog, rain
  • Active and interactive imaging and control
  • Light field video processing: using 4D cameras to see where others cannot
  • Autonomous driving, underwater survey, drone delivery, robotic surgery
  • AR / VR

We're always open to new ideas at the intersection of imaging and robotics.