Matthew Hobbs
Closing soon
2 weeks ago
University of Canterbury PhD Scholarship
Funded PhD in Computational Infrastructure for Linked Data, Health and Environmental Resilience University of Canterbury in New Zealand
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD: NZ$32,650 per year plus PhD tuition fees, with up to NZ$5,000 for research expenses. Duration is 3 years.
Deadline
Oct 27, 2026
Country
New Zealand
University
University of Canterbury

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About this position
Funded PhD opportunity at the University of Canterbury in Christchurch, New Zealand, on Computational infrastructure for linked data, health and environmental resilience.
The project focuses on developing new computational and geospatial approaches for connecting longitudinal health and social data with environmental information across the lifecourse. Research themes include spatial epidemiology, linked data, GIS/geospatial science, public health, environmental health, data science, and policy-relevant health and environmental research.
Potential application areas mentioned in the post include drinking water infrastructure, nitrate exposure, community water fluoridation, air pollution, greenspace, deprivation, and access to health services. The project offers opportunities to work with real-world linked population data and contribute to ongoing HRC-funded research.
Funding includes NZ$32,650 per year plus PhD tuition fees, with up to NZ$5,000 research expenses. The PhD duration is 3 years.
Eligibility highlights: the post says the project would suit a quantitatively strong student with interest in spatial epidemiology, linked data, GIS/geospatial science, public health, environmental health, or data science.
Applications close on 27 October 2026. Interested applicants should review the project details and use the scholarship/application link to apply.
Funding details
Funded PhD: NZ$32,650 per year plus PhD tuition fees, with up to NZ$5,000 for research expenses. Duration is 3 years.
What's required
Applicants should be quantitatively strong and interested in spatial epidemiology, linked data, GIS/geospatial science, public health, environmental health, or data science. The project involves working with real-world linked population data and contributing to HRC-funded research.
How to apply
Review the project details and scholarship/application links, then submit an application before the closing date. Use the scholarship/application page for the formal application process.
More information can be found here
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