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Urgent! Summer Student: Geospatial Deep Learning for Forestry Applications - Scion Job Opening In Rotorua – Now Hiring Science New Zealand
Summer Student: Geospatial Deep Learning for Forestry Applications
Based in Rotorua
Approximate dates: 1 December 2025 - 20 February 2026
As part of the Government's reset of the science, innovation and technology system, on 1 July 2025, AgResearch, Manaaki Whenua - Landcare Research, Plant & Food Research, and Scion merged to form the New Zealand Institute for Bioeconomy Science, trading as the Bioeconomy Science Institute.
This merger has created a world-class research organisation of globally significant size and scale, with over 2,000 employees — including scientists, researchers, and support staff.
It brings together fundamental science knowledge and expertise in the natural resources that underpin the bioeconomy and the native estate, alongside applied research capabilities in manufacturing, agritech and biotech, and the food and fibre sectors.
Our people drive innovation and commercial outcomes in the bioeconomy, using research and technology to support enduring economic growth and resilience, a healthy environment, and positive social outcomes for Aotearoa New Zealand
This position sits under the current Scion group of the Bioeconomy Science Institute.
Scion specialises in research, science and technology development for the forestry industry, wood products and wood-derived materials.
We lead new technology development for renewables, bioproducts and energy and the establishment of a broader-based circular bioeconomy.
Scion hosts a number of summer students, each with differing specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus.
The programme involves a student completing a 12-week, full-time, research project under the direction of Scion supervisors (allowing time for holidays over the Christmas and New Year).
Students are able to gain hands on, paid, work experience in the field of which they are studying, where they get to work shoulder to shoulder with Scion's internationally recognised staff
We are seeking a motivated student to work on the Digital Twin for Planted Forest and CHM depth estimation projects
The primary objective of the work/project:
The student will help researchers to train state-of-the art models that combine aerial imagery and LiDAR datasets to create a prototype 'digital twin' of New Zealand's planted forests.
Research Abstract
The student will contribute to national-scale geospatial research projects at Scion focused on developing innovative systems for detecting, mapping, and characterising New Zealand's planted forests.
These projects combine high-resolution remote sensing data, such as aerial photography, and LiDAR, with deep learning techniques to build scalable tools for forest monitoring and analysis.
The output of this project will help to monitor the extensive afforestation New Zealand will undertake to meet our climate change obligations in the coming decades.
Working with large-scale public datasets, the student will assist in extracting, interpreting, and curating data, and will help evaluate model performance across multiple development iterations.
This hands-on experience will provide valuable insight into the application of AI and geospatial technologies in environmental research.
What the student will do
This project will expose the student to a broad range of tasks in GIS, remote sensing, and environmental data science, while also deepening their understanding of forestry applications.
They will have the opportunity to develop or enhance practical skills in geospatial analysis, programming, and cloud-based data processing, as well as gain hands-on experience with cutting-edge AI tools and methods.
Qualifications, skills and attributes needed:
Applications close - 12 September 2025
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Unlock Your Summer Student Potential: Insight & Career Growth Guide
Real-time Summer Student Jobs Trends in Rotorua, New Zealand (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Summer Student in Rotorua, New Zealand using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 449 jobs in New Zealand and 16 jobs in Rotorua. This comprehensive analysis highlights market share and opportunities for professionals in Summer Student roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Science New Zealand is currently hiring and seeking a Summer Student: Geospatial Deep Learning for Forestry Applications Scion to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Summer Student: Geospatial Deep Learning for Forestry Applications Scion Jobs New Zealand varies, but the pay scale is rated "Standard" in Rotorua. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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