Artificial Intelligence and Artificial Intelligence for Aquaculture
Application process
A completed online application must be submitted by 4.30 pm 22 September 2025. Late or incomplete applications will not be accepted. Any required supporting documentation (including references) must also be received by 4.30 pm on the closing date in order for the application to be considered.
Project number
127
Project description
This large project seeks 5 individual excellent summer scholars from current year-3 and year-4 students in AIML, DATA, COMP/SWEN with AI specialisation to carry out research in data science and AIML for NZ aquaculture industry. The successful scholars/students will use/develop DSAI, machine learning and computer vision algorithms and techniques to support decision-making in NZ aquaculture industry for responding to climate challenge, managing fish disease, improving fish production yields and fish farm sustainably at scale.
A good background in Python programming and COMP307/309/AIML231/232 is required. A good background in statistics/optimisation would be preferred.
The successful scholars will be working with one of the experienced supervisors in the Centre for Data Science and AI: Mengjie Zhang, Ivy Liu, Bing Xue, Richard Arnold, Yi Mei, Binh Nguyen, Junhong Zhao and Fangfang Zhang.
The students/scholars will be located at VUW, and are expected to generate a paper/prototypes.
Location
Mainly at the University
Supervisor
Director,Centre of Data Science and Artificial Intelligence
Centre for Data Science and Artificial Intelligence