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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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knowledge about site-selection, restoration method development, monitoring and quantification of ecosystem services. Skills in GIS and remote sensing (drones or side-scan sonar) are an advantage. You hold a
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. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio-ecological research, policy analysis, and stakeholder engagement
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in biodiversity assessments and ecosystem service valuation. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio
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assessments and ecosystem service valuation. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio-ecological research, policy
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field. Strong experience in forest operations, management or silviculture research. A background in quantitative analysis, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication