[visionlist] [Jobs] Postdoctoral Fellowship in MLAI FSP: Spatiotemporal Learning, Brisbane Australia
peym.mo
peym.mo at gmail.com
Tue Jan 25 05:53:02 -04 2022
[Jobs] Postdoctoral Fellowship in MLAI FSP: Spatiotemporal Learning,
Brisbane Australia
Application deadline: *Feb 10, 2022*, Australian time
*Tenure:* Specified term of 3 years
Location: CSIRO Robotics and Autonomous Systems Group, CSIRO Data61,
Australia
The CSIRO Machine Learning and Artificial Intelligence Future Science
Platform (MLAI FSP) brings together world-leading experts to explore
scientific questions using machine learning techniques. As a member of the
MLAI FSP, you will work with CSIRO scientists, engineers and collaborate
with national and international university partners to develop new machine
learning and artificial intelligence methods that have general
applicability for spatiotemporal streams. You will also have the
opportunity to work with other members of the MLAI FSP Platform on projects
ranging across multiple science research areas.
The position sits within Spatiotemporal Learning. The Postdoctoral Fellow
will work closely with Data61 machine learning, artificial intelligence and
robotics experts, develop fundamental and transformative spatiotemporal
machine learning/artificial intelligence algorithms and workflows for
complex systems (e.g., robotic data streams). Since manual annotation of
large, multimodal, high-dimensional spatiotemporal data is challenging,
approaches to use extensive collections of unlabelled data to learn generic
representations are essential (self-Supervised Learning). The successful
candidate will work within national and international settings and as part
of a diverse multidisciplinary team.
WHO WE ARE:
The Robotics and Autonomous Systems group at the Commonwealth Scientific
and Industrial Organization (CSIRO) is a world leader in robotics research
and recently won second place, and a $1M prize, at the DARPA Subterranean
Challenge!
How to apply:
https://jobs.csiro.au/job/Brisbane%2C-QLD-CSIRO-Postdoctoral-Fellowship-in-MLAI-FSP-Spatiotemporal/805318600/
Eligibility:
To be eligible for the role, you must be an Australian/New Zealand Citizen,
Australian Permanent Resident or Australian temporary resident currently
residing in Australia and be able to commence in the role by early 2022.
Regards,
Dr. Peyman Moghadam
Activity Leader - Spatiotemporal
Machine Learning and Artificial Intelligence Future Science Platform |
CSIRO
Embodied AI Team Leader | Principal Research Scientist
Robotics and Autonomous Systems Group | Data61 | CSIRO
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