PhD Scholarship in Geological Remote Sensing and Mineral Exploration
Develop novel machine learning and remote sensing workflows for mineral exploration in New Zealand.
Best for:Best for geoscience graduates with an interest in remote sensing, GIS, and machine learning applications.
Overview
Massey University invites applications for a fully funded PhD position focused on Earth Observation-based geological mapping and mineral prospectivity analysis. Supported by New Zealand's Applied Doctoral Scheme and industry partner Hardie Pacific, the project combines satellite hyperspectral imaging, LiDAR, and advanced machine learning techniques to investigate the Otago Schist gold province. The successful candidate will spend approximately 70% of their time at Massey University in Palmerston North and 30% on industry placements and fieldwork with Hardie Pacific in Dunedin. Applicants are expected to hold a relevant geoscience degree and be ready to commence the programme by March 1, 2027.
What you'll do
- Develop novel remote-sensing and machine-learning workflows for geological mapping and mineral prospectivity analysis
- Integrate satellite hyperspectral datasets such as EMIT, EnMAP, and PRISMA with LiDAR digital terrain models
- Conduct field-based geological mapping and validation to support remote-sensing models
- Engage closely with industry partner Hardie Pacific through collaborative research activities and placements
- Publish research findings in peer-reviewed scientific journals and present at conferences
Requirements
Degree required: BSc Honours or MSc in Geoscience or related field
Degree offered: PhD
Language: English
Instruction: English
- Background in geosciences or a related scientific discipline
- Strong academic record from recent Honours or Master's studies
- Ability to undertake fieldwork and collaborative industry placements in New Zealand
- Must be able to commence the PhD by 1 March 2027
Funding & terms
How to apply
Interested applicants should submit their application materials manually following the instructions provided by the university. Ensure all required academic transcripts and supporting documents are prepared ahead of the intended start date.
- CV
- Academic transcripts
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