Scholarship
Postgraduate Research Scholarship in Marine Robotics
University of Sydney
Award
AUD 41.8K–41.8K ≈ €25.1K
Closing date
Closed
Location
Global
For
Individuals
About this opportunity
The Postgraduate Research Scholarship in Marine Robotics has been developed to support an outstanding postgraduate research student in the Faculty of Engineering at the University of Sydney to undertake research in marine robotics. Quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates using underwater robots and other imaging systems, but expert annotations are not keeping up meaning that insights from this data are not being realised.
This project will develop Machine Learning (ML) tools that leverage an already existing, large repository of labelled and unlabelled underwater imagery to train classifiers to derive quantitative estimates of species abundance and distributions for a variety of stakeholders. The project is relatively unique in that it provides opportunities to work alongside industry partners and academic researchers, as well as a pool of expert marine scientists who have a vested interest in using machine learning tools to solve their real-world image annotation challenges.
The scholarship provides an annual stipend allowance equivalent to the University of Sydney RTP rate (indexed annually) for up to three years and six months, subject to satisfactory academic performance. Recipients will have a background in machine learning or computer vision and will have the opportunity to participate in fieldwork designed to validate the developed tools and to collect new datasets using the latest marine robotic platforms.
36 - 43 mo
1 award
Who can apply
Applicant Types
individual
Project Locations
🇦🇺 Australia
Region
Australia
How to apply
Interview required
Institutional approval
Stages
- 1 single_stage
Required documents
cv · research_proposal · transcripts
Review process
Selection based on academic achievement, research experience, curriculum vitae, research proposal, personal statement, and interview. Awarded by Deputy Vice Chancellor (Research) on recommendation of Professor Stefan Williams.
Additional benefits
- training
- equipment
Restrictions
- reporting_requirements
- no_concurrent_funding
Post-award obligations
- final_report