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2 weeks ago
This role focuses on developing an artificial intelligence-based foundation model toolbox using historical, global and regional weather and climate data.
A general purpose toolbox will be developed with initial testing on climate risks to agriculture across the Asia-Pacific region, with opportunities to explore other climate-change related impacts.
Key Responsibilities- Contribute to the technical development of an artificial intelligence-based foundation model toolbox, including data wrangling, code development, evaluation and application.
- Engage in collaborative research with the existing team, leading key components at an internationally competitive level.
- Lead and contribute to significant international publications.
- Establish a personal research portfolio and develop independent research proposals under guidance.
- Support PhD students working on the project.
- PhD in Mathematics, Computer Science, Engineering, Data Science, or related field; weather/climate science acceptable with strong technical skills.
- Advanced Python or C++ with experience developing and fine-tuning foundation models; HPC and multi-GPU programming.
- Knowledge of state-of-the-art AI models; track record in collaborative coding (e.g., GitHub); ability to stay current with discipline developments.
- Strong communication, teamwork and ability to work across disciplines; commitment to UNSW aims, objectives and values; health and safety training.
- Address the selection criteria in your application.
- Apply online. Applications submitted by other means will not be accepted.
- UNSW is committed to equity, diversity and inclusion. Applications from women, people from diverse backgrounds, those with disabilities, LGBTIQ+ community, and Aboriginal and Torres Strait Islander descent are encouraged.
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