Research Scholar for nature-based climate solutions research project at IIASA
דרושים
Full time | Application Deadline: 14 May 2025
The Agriculture, Forestry, and Ecosystem Services (AFE) Research Group, within the IIASA Biodiversity and Natural Resources (BNR) Program is looking for a highly motivated remote sensing specialist to work closely with project partners in the development of scalable open-source landscape monitoring technology that can address multiple thematic requirements of diverse NCS actors and stakeholders.
Read more and apply through the IIASA website>
Background
The AFE Research Group strives to generate knowledge and develop state-of-the-art modeling tools with the objective of advancing the scientific community and supporting policy stakeholders in their effort to better understand and manage global and regional land systems.
The Project
Funded by the International Climate Initiative, AFE is coordinating the four-year impact-oriented research project Evolving Participatory Information System (EPISTEM) for Nature-based Solutions.
EPISTEM aims to provide and mainstream open-source technology that could provide actors of nature-based climate solutions (NCS) with access to high-quality Land Use and Land Cover (LULC) data. Focusing on Indonesia and broader Southeast Asia, the EPISTEM initiative will support the region’s NCS aspirations through data empowerment that could unlock technical barriers for activities across the NCS delivery chain.
Main Tasks and Responsibilities
Collaborate with remote sensing experts and NCS specialists in Indonesia to design, develop, and optimize an open-source, automated LULC mapping technology tailored to Southeast Asia’s ecological and geographical contexts.
Conduct testing, validation, and ensure the accuracy and reliability of the LULC mapping technology, incorporating local knowledge and expertise.
Collaborate with remote sensing experts and NCS specialists in Indonesia to develop an open repository for participatory LULC reference data generation.
Develop a robust LULC key interpretation algorithm to ensure the production of high-quality, accurate LULC maps from satellite imagery.
Design and coordinate mapathon activities, engaging local stakeholders and citizen scientists in generating high-quality LULC reference data.
Contribute to the creation of user-friendly documentation, tutorials, and guidelines for the LULC mapping tools and processes.
Research Scholar for nature-based climate solutions research project at IIASA
Open Positions
Full time | Application Deadline: 14 May 2025
The Agriculture, Forestry, and Ecosystem Services (AFE) Research Group, within the IIASA Biodiversity and Natural Resources (BNR) Program is looking for a highly motivated remote sensing specialist to work closely with project partners in the development of scalable open-source landscape monitoring technology that can address multiple thematic requirements of diverse NCS actors and stakeholders.
Read more and apply through the IIASA website>
Background
The AFE Research Group strives to generate knowledge and develop state-of-the-art modeling tools with the objective of advancing the scientific community and supporting policy stakeholders in their effort to better understand and manage global and regional land systems.
The Project
Funded by the International Climate Initiative, AFE is coordinating the four-year impact-oriented research project Evolving Participatory Information System (EPISTEM) for Nature-based Solutions.
EPISTEM aims to provide and mainstream open-source technology that could provide actors of nature-based climate solutions (NCS) with access to high-quality Land Use and Land Cover (LULC) data. Focusing on Indonesia and broader Southeast Asia, the EPISTEM initiative will support the region’s NCS aspirations through data empowerment that could unlock technical barriers for activities across the NCS delivery chain.
Main Tasks and Responsibilities
Collaborate with remote sensing experts and NCS specialists in Indonesia to design, develop, and optimize an open-source, automated LULC mapping technology tailored to Southeast Asia’s ecological and geographical contexts.
Conduct testing, validation, and ensure the accuracy and reliability of the LULC mapping technology, incorporating local knowledge and expertise.
Collaborate with remote sensing experts and NCS specialists in Indonesia to develop an open repository for participatory LULC reference data generation.
Develop a robust LULC key interpretation algorithm to ensure the production of high-quality, accurate LULC maps from satellite imagery.
Design and coordinate mapathon activities, engaging local stakeholders and citizen scientists in generating high-quality LULC reference data.
Contribute to the creation of user-friendly documentation, tutorials, and guidelines for the LULC mapping tools and processes.