University of Canterbury PhD Studentship in Linked Data, Health and Environmental Resilience
University of Canterbury
Three-year PhD in spatial epidemiology and linked health–environmental data at the University of Canterbury, New Zealand. NZ$32,650 annual stipend, tuition fees and up to NZ$5,000 research expenses. Apply by 27 October 2026.
Develop computational and geospatial methods linking longitudinal health and social data with environmental exposures, services and infrastructure. Possible applications include nitrate exposure, fluoridation, air pollution and greenspace. The project is supervised by Associate Professor Matthew Hobbs and Professor Elena Moltchanova in the Faculty of Health. Applications must go through the UC Commitments Doctoral Scholarship in the myUC Scholarship Portal; emailed applications are not accepted.
Source and verification
Check the current official call before applying
Recorded source check: October 22, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.
Benefits
NZ$32,650 annual stipend and PhD tuition fees for three years, plus up to NZ$5,000 in research expenses over the degree.
Eligibility summary
Applicants should be quantitatively strong and interested in linked data, geospatial science, public or environmental health, or spatial data science. The official project page does not state a nationality restriction; confirm eligibility in the UC scholarship portal.
Requirements
Experience with complex data and ideally R, Python or a comparable analytical language. GIS, longitudinal or administrative data, epidemiology, or spatial-temporal analysis is advantageous but not essential. Strong analytical, problem-solving and communication skills are expected.
Documents required
Check the UC Commitments Doctoral Scholarship application in your myUC account for the required documents. The university will not consider emailed applications.
Language/test requirements
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