Publisher
source

University of Otago

University of Otago PhD Scholarship

Fully Funded PhD in Seasonal Rainfall and River Flow Forecasting Using Machine Learning University of Otago in New Zealand

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

New Zealand

University

University of Otago

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Keywords

Computer Science
Data Science
Environmental Science
Climate Science
Earth Science
Statistics
Physics
Machine learning

About this position

The University of Otago is advertising a fully funded PhD scholarship for a project on seasonal rainfall and river flow forecasting using machine learning methods.

This opportunity sits within Climate & Energy and the Centre for Sustainability Research, and the successful candidate will work with Jen Purdie and Prof Peter Whigham. The project is strongly aligned with environmental science, earth science, computer science, statistics, and machine learning, with a focus on data-driven forecasting for climate and hydrological systems.

The preferred background is a research Master’s degree, along with knowledge of data science, statistics, computer science, machine learning, climate science, physics, or related fields. The post also encourages interested applicants to apply even if they do not have every listed skill.

Eligibility note: due to recent New Zealand government policy changes, the position is being re-advertised for candidates with New Zealand or Australian residency only; international PhD candidates are not eligible under the current funding arrangement.

Funding: fully funded scholarship. No stipend amount, tuition details, or deadline are provided in the post.

How to apply: contact Jen Purdie directly by email at [email protected] if you are interested. The post does not include a formal application portal.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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