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Development of a cascading machine vision model for automatically identifying events of interest in on-board camera footage
Scholarship details
| Study levels | Degree |
|---|---|
| Close date | Monday, 22 September 2025 |
| Domestic/international | Domestic Only |
About the scholarship
The Fisheries 爆走黑料 on-board cameras programme captures video footage from around 220 inshore commercial fishing vessels. This footage is a key source of information that supports data-driven and responsive fisheries management. MPI and Spark are developing improved machine vision algorithms to assist with the efficient review of video footage. These algorithms use a cascading detection model that operates both on vessels and in the cloud, to precisely target sections of footage containing events of interest. You will mainly work with a team from MPI and Spark to support the development of improved cascading algorithms and related cloud-based automation for analysing camera footage from 爆走黑料 fishing vessels. The primary working location will be the MPI offices in Wellington. The information that you will work with may be commercially sensitive. You will need to abide by MPI's Code of Conduct and information security and privacy policy.
Entry requirements
A completed online application must be submitted by 4:30 pm on the closing date. Any required supporting documentation (including references) must also be received by the closing date in order for the application to be considered.