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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
, accountable to the Head of the Experimental Mechanics group. The Person To excel in this role, you are required to have a PhD in Geoscience, Experimental Physics, or engineering, with demonstrated experience in
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
criteria. If shortlisted, candidates will be asked to complete a: 30 minute interview Presentation on PhD research projects If you require adjustments to participate in any of the above assessments, please
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
of Meteorology and Monash University, engaging with stakeholders to identify and address the extreme rainfall events most critical to their needs. The Person To thrive in this role, you will possess: A PhD in
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with a PhD (or awarding of a PhD within six months of appointment) in photonics and optical physics, with strong track record of research in the field of high power lasers in the short and ultrashort
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researchers and research organisations across diverse fields. Our Ideal Candidate Our preferred candidate will possess a doctoral qualification (PhD) in a relevant field in palaeoecology or geography
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are key. We are looking for someone with a PhD in accelerator-based physics, ideally with experience in AMS. Learn more about the ground-breaking research and work class facilities of the Research School