IIASA is looking for Research Scholar - forest modeling/data science
The IBF Research Group, part of the IIASA Biodiversity and Natural Resources (BNR) Program, is offering an opportunity for a forest modeler and data scientist to work on the development of consolidated forest databases and integrated forest modeling.
The IBF Research Group adopts an integrated approach to sustainable land use and ecosystems modeling taking into account i) interactions between different economic sectors, including agriculture, forestry, bioenergy, and fisheries, ii) synergies and trade-offs between multiple societal objectives, including, but not limited to, GHG emissions and climate change mitigation, climate change impacts and adaptation, food security, sustainable nutrient and water management, and biodiversity, iii) across different spatial and temporal scales, going from pixel through the country level up to the global scale, and from annual to a hundred year time horizon.
The group is strongly connected to the international academic community, placing emphasis on transdisciplinary synergies and applied approaches. The work accomplished has long been recognized through regular publications in high-ranking scientific journals, and the team includes several Top 1% highly cited researchers. In addition, IBF is recognized as a reliable partner in support of national policy making and international multilateral processes.
In the context of its interdisciplinary research, IBF is offering a position for a research scholar in forest modeling and data science. The position will focus on the role of forests in respect to climate change mitigation and adaptation, as well as their nexus with biodiversity and ecosystem services, in the context of the Horizon Europe “ForestNavigator” project and other relevant transdisciplinary projects. The successful candidate will be conducting analyses and processing of big data in forestry, and at the same time will be participating in the conceptualization and implementation of a new generation of forest models, including ecophysiological modules of forest growth, disturbances and soil dynamics. Support to the development of web-based applications to run the models flexibly and efficiently is foreseen. The successful candidate will closely collaborate with IIASA researchers and modeling teams and build on existing IIASA experience and infrastructure.
Further details here. Deadline 11.4.2022.
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