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Remote Sensing and Data Scientist

Landcare Research (New Zealand) is seeking a Remote Sensing and Data Scientist. If you are:

  • Well versed in remote sensing and spatial data analysis with knowledge of New Zealand's vegetation and landscape ecology complemented by skills in computational science, statistics, or maths;

  • Keen to develop new leading-edge techniques to identify and map vegetation and to combine and interpret spatial data to provide environmental information; and

  • Looking for a dynamic and invigorating technological environment in which to work.

then this position may be of interest to you. Find out more here:

https://careers.sciencenewzealand.org/jobdetails/ajid/Bynm8/24950-Remote-Sensing-and-Data-Scientist,24950.html

Applications close at 5.00 pm on 23 October 2017.

Graduates

There are opportunities for graduates with spatial Information education across Australia and around the globe in many disciplines. 

Jobs in the spatial industry are varied with graduates working throughout business and government in a broad range of spatial information management and system development positions.

You may be involved in the traditional areas of managing land information systems, producing maps and digital databases, surveying boundaries and engineering projects, or managing, developing, and preserving land. You may be applying many techniques, including photogrammetry, remote sensing, and global positioning system (GPS). You could be managing information about the environment, transportation and other utility systems.

Working in our industry may see you advance the technology itself: developing software and systems to enhance the ability of individuals, business, government, and industry to better use information systems in daily business workflows. 

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Scholarships

CRCSI Education Program focuses on PhD and Masters students within its portfolio of research projects, and outreach programs for business and government partners.

Sources of Employment

There are a number of online job seeker sources. We recommend the following: