Scholarship in Robotic Imaging for Autonomous Inspection and Intervention
A$35,629 - A$35,629
Feb 11, 2022
Australia
individual
About This Opportunity
This Scholarship has been established to provide financial assistance to a PhD student undertaking research in robotic imaging for autonomous inspection and intervention with an advanced agile underwater drone. The scholarship is funded by Hullbot Pty Ltd and the Faculty of Engineering at the University of Sydney. The project aims to develop new visual sensing approaches to enable next-generation performance in deployed underwater systems. The work will focus on sensing for Hullbot's cutting-edge nimble underwater drone, improving performance and allowing operation in previously prohibitive conditions. The scholarship supports full-time PhD research within the Faculty of Engineering, targeting students with expertise in imaging, image processing, computer vision, and robotics.
Who Can Apply
- Region
- Australia
- Project in
- Australia
- Applicants
- individual
- Organizations
- academic
Application Details
Stages
- 1 single_stage
Required documents
Review process
Selection based on academic merit, curriculum vitae, personal statement demonstrating communication and interpersonal skills, creativity, curiosity, passion, and past industry and research experience, along with area of study and research proposal. Priority given to applicants with experience in robotic platforms, ROS, Python, C++ and/or deep learning frameworks.
Additional benefits
- equipment
- training
Restrictions
- geographic_restrictions
- reporting_requirements
Post-award obligations
- final_report
- acknowledge_funder
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- A$35,629 - A$35,629
- Application Deadline
-
February 11, 2022 at 23:59 UTCDeadline passed
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