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University of Canterbury

Geospatial Research Institute PhD Scholarship

2026 Geospatial Research Institute Toi Hangarau PhD Scholarship in Geospatial Analysis, Remote Sensing, GeoAI, and Spatial Modelling University of Canterbury in New Zealand

Degree Level

PhD

Field of study

Computer Science

Funding

One PhD scholarship at the University of Canterbury, New Zealand, with total funding of NZ$35,650 per year for up to three years full-time, or pro-rata for part-time study. This includes a UC PhD scholarship of NZ$32,650 per annum plus a GRI top-up of NZ$3,000 per annum. Up to an additional NZ$4,000 per year is available for travel or other research-related expenses, subject to supervisor support and GRI Director approval. Fees are included.

Deadline

Expired

Country flag

Country

New Zealand

University

University of Canterbury

Ongoing program

Geospatial Research Institute PhD Scholarship

by Geospatial Research Institute Toi Hangarau, University of Canterbury

Fully Funded
PhD
Up To 3 Years Full-time; Pro-rata For Part-time Study
New Zealand

PhD scholarship at the University of Canterbury, New Zealand, supporting one geospatial research project with stipend, fees, and possible research travel support.

Explore the program

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Keywords

Computer Science
Data Science
Machine Learning
Environmental Science
Remote Sensing
Geography
Urban Planning
Glaciology
Spatial Analysis
Earth Science
Salud Pública
Urban Forestry
Health Geography
Statistics

About this position

The Geospatial Research Institute Toi Hangarau at the University of Canterbury is inviting applications for its 2026 PhD Scholarship in geospatial research. This is a student-focused scholarship opportunity, not a job opening, and it supports one PhD candidate working on one of four research projects spanning geography, environmental science, earth science, computer science, public health, statistics, and urban planning.

The available project themes are: glacier recession and lake-terminating glaciers using geospatial datasets, AI-driven remote sensing, and data fusion; GeoAI and spatial modelling for the 3-30-300 rule and neighbourhood equity; geospatial pathways for an equitable clean energy transition in Aotearoa New Zealand; and the human exposome, focusing on health and environmental interactions across time and space. Across the projects, the common methods include GIS, remote sensing, LiDAR, spatial data science, machine learning, statistical modelling, and in some cases energy systems modelling and health geography.

Funding is substantial: the scholarship provides NZ$35,650 per year for up to three years full-time (or pro-rata part-time), including a UC PhD scholarship, a GRI top-up, and fees. An additional up to NZ$4,000 per year may be available for travel or other research-related expenses, subject to approval.

Applicants should have a relevant background depending on the project, such as earth system science, glaciology, geography, health sciences, epidemiology, or energy systems. Strong skills in R or Python, GIS platforms like QGIS or ArcGIS, and quantitative analysis are preferred. Additional experience with remote sensing, LiDAR, computer vision, photogrammetry, or energy modelling is advantageous. Māori scholars are especially encouraged to apply.

The application deadline is 29 May 2026 at 17:00 NZ Time. To apply, candidates should prepare a cover letter, application form, CV, referee contacts, and a GPA report, then send the completed materials to the GRI enquiries email. The post also links to a detailed scholarship page and a selection document for PhD candidates.

Funding details

One PhD scholarship at the University of Canterbury, New Zealand, with total funding of NZ$35,650 per year for up to three years full-time, or pro-rata for part-time study. This includes a UC PhD scholarship of NZ$32,650 per annum plus a GRI top-up of NZ$3,000 per annum. Up to an additional NZ$4,000 per year is available for travel or other research-related expenses, subject to supervisor support and GRI Director approval. Fees are included.

What's required

Applicants should be prospective PhD candidates with a relevant background depending on the chosen project. Preferred areas include earth system science, glaciology, health sciences, geography, epidemiology, geospatial analysis, GIS, remote sensing, spatial data science, energy systems, or related fields. Strong programming skills in R or Python, experience with GIS platforms such as QGIS or ArcGIS, quantitative and statistical modelling ability, and familiarity with remote sensing, LiDAR, machine learning, computer vision, photogrammetry, or energy modelling are advantageous. Applicants must submit a cover letter, application form, CV with publications if any, contact details for at least two referees, and a GPA report; New Zealand or United States qualifications do not require Scholaro. Māori scholars are especially encouraged to apply.

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Professors

Associate Professor

University Name
Country flag

New Zealand

Research Interests

Volcanology

Poetry

Geography

Salud Pública

Computer Science