[visionlist] [Jobs] Fully Funded PhD Position in Light Field Imaging for Autonomous and Assisted Driving in Sydney, Australia

[Donald Dansereau]

The Robotic Imaging Lab at the University of Sydney, Australia has a fully
funded PhD position open in light field imaging for autonomous and assisted
driving, in partnership with Ford Motor Company.

Applicants with a strong background in Mechatronic, Electrical, or Computer
Engineering, Computer Science, or similar programs are encouraged to apply.

This project will develop light field imaging approaches to enable
next-generation performance in autonomous driving and advanced driver
assistance systems.

---The Challenges---
Challenges arise in devising long-range and wide-field-of-view 3D sensing
solutions that offer low latency and operate under a wide variety of
illumination and weather conditions.

The project's aims include:
- Designing and evaluating LF camera architectures suited to the challenges
of autonomous and assisted driving,
- Developing computationally efficient 3D vision pipelines that exploit the
rich information that LF cameras capture to deliver next-generation
robustness and performance, and
- Running lab and field trials to rigorously evaluate novel sensing
technologies for autonomous and assisted driving.
- Depending on interest and ability, there is an opportunity to explore
novel optics for light field capture and/or digital architectures for
low-power low-latency light field vision.

---Research Environment---
Embedded in the Australian Centre for Field Robotics, the Robotic Imaging
Lab is focused on endowing robots with new ways of seeing their world. From
photons to actions, we employ computational imaging techniques to jointly
consider the optics, low-level vision, and high-level semantic
understanding that ultimately drive autonomous decision making.

The ACFR offers specialised imaging labs and facilities, robotic platforms
including a range of autonomous passenger vehicles, and robotic field labs
across on-campus and nearby off-campus sites. You will have access to
mechanical and electronics workshops and a pool of technical staff to help
realise your research ambitions. The University of Sydney offers a rich
academic setting in a world-class city, and the ACFR has strong ties to a
network of nearby and international academic and industrial collaborators.

---Offering---
A fully funded 3.5-year PhD scholarship covering tuition fees and a stipend
covering living expenses.

Successful candidates will have:
- A bachelor’s degree in a relevant discipline
- Interest in light field imaging and robotics research
- Excellent communication and interpersonal skills
- Experience with one or more of imaging, image processing and/or computer
vision
- Hands-on experience with embedded processing, FPGA development, ROS,
Python, C++, and/or deep learning frameworks would also be an asset

Domestic and international applicants are welcome, more details at the
posting website.

---How to Apply---
Application details here: https://roboticimaging.org/Join/LFDriving
Deadline: 19 Jun 2022 midnight (Sydney time)
For all other enquiries, email donald.dansereau at sydney.edu.au
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