Environmental Science, Engineering, Ecology, Environmental Informatics Indiana University at Bloomington in United States

Indiana University Bloomington's O’Neill School of Public & Environmental Affairs is seeking a highly motivated postdoctoral research scholar to focus on reducing bias and uncertainty in the measurement and monitoring of forest carbon uptake from local to global scales. Forests play a dominant role in the land carbon sink, and strategies for forest-based carbon removal offer significant environmental and bio-economy benefits. However, current estimates of forest carbon uptake and storage (FCUS) can vary widely, sometimes by 50-100% or more, across different scales. The overarching goal of this project is to use the best available science to address these discrepancies and to develop tools that enable seamless integration between project-scale FCUS monitoring and broader policy frameworks at regional to global levels.

The postdoctoral scholar will lead the synthesis of network observations, including forest inventory data (such as from the USDA Forest Inventory and Analysis program) and flux tower data (from networks like AmeriFlux and FLUXNET). The role also involves integrating these ground-based observations with advanced remote sensing data that describe forest structure and function. Responsibilities include computationally intensive data analysis, preparation and submission of journal articles, and mentoring students and technicians involved in the project.

The position is supervised by Professor Kim Novick and offers opportunities for collaboration with other IU scientists, academic partners at other institutions, and organizations in the civic and public sectors. The preferred work location is Bloomington, Indiana, but remote arrangements may be considered. Applicants should hold a Ph.D. in environmental science or engineering, ecology, environmental informatics, or a related field, and possess strong communication skills, collaborative experience, and expertise in analyzing ecological time series and remote sensing datasets.

The position offers a competitive salary commensurate with experience and includes full benefits. The best consideration date for applications is November 15, 2025, with an expected start date of January 15, 2026. For application, submit a cover letter, CV, and contact information for three references through the provided application portal. For further inquiries, contact Professor Kim Novick at [email protected].