Scholarship opportunities

Scholarship Opportunities at Geospatial Research Institute Toi Hangarau

Friday, Jan 6, 2017

The Geospatial Research Institute (GRI) Toi Hangarau at the University of Canterbury is part of New Zealand’s Building Better Homes, Towns and Cities - Ko ngā wā kāinga hei whakamāhorahora National Science Challenge (
The GRI are leading the Next Generation Information for Better Outcomes strategic research area.
The aim of this project is to drive the development of better homes, towns and cities through improved use of information, with a specific focus on geospatial data. Among the questions it will address are: What data are needed and available; who owns the data and how, and by whom is it being used; what are the access and intellectual property implications of privately owned data? In areas of limited information and resources, which data is essential to collect/collate? How can the essential new data be collected, standardised and managed to make it interoperable with other building and property data so that it is useful for end users? In addition the project will develop a series geospatial urban planning tools primarily using open source software to assist better decision-making on urban planning (redevelopment, transport, and urban resilience strategies) in New Zealand cities. The successful candidates will work with partners from government agencies at a national and local level in New Zealand, and will also collaborate with the Greening the Greyfields project researchers funded by the Cooperative Research Centre for Spatial Information (CRCSI) also working with partners from government agencies. The appointees will be based in Christchurch and be part of research also focusing on other New Zealand cities, such as Auckland and Wellington.

The closing date for this scholarship is now 28th February 2017

The project includes a PhD scholarship. This is a fully funded, three year scholarship including fees. The student will work on a project looking at how crowd-sourced and urban sensor data can feed into better decisions for cities, towns and homes.

To apply please email
(1) your CV and academic transcripts,
(2) the names of 2 referees and
(3) maximum one page of text on your “Research thoughts based on the project outline” to

The project also includes two new posts, both are full-time 2.5 yrs fixed term positions and are available immediately.