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Postdoctoral Fellow

Employer
Indiana University
Location
Bloomington, Indiana
Salary
Commensurate with experience. Full benefits included.
Closing date
Dec 29, 2023

View more

Discipline
Atmospheric Sciences, Earth and Space Science Informatics
Career Level
Postdoctoral
Education Level
PhD
Job Type
Full-time
Relocation Cost
Negotiable
Sector Type
Academia

Postdoctoral Fellow

Advancing Nature-Based Carbon Accounting in Eastern US Forests via Machine Learning
and Remote Sensing

O’Neill School of Public and Environmental Affairs
Bloomington, Indiana

Indiana University (IU) – Bloomington's research teams in the O’Neill School of Public and Environmental Affairs are seeking a highly motivated postdoctoral fellow. The position will contribute to a groundbreaking project aimed at elevating the credibility and scalability of Forest-based Climate Solutions in the Eastern United States. Funded by a NASA Carbon Monitoring System grant, this initiative employs a unique data-driven strategy that integrates machine learning, remote sensing, and eddy covariance flux measurements to comprehensively model carbon dynamics in Eastern US forests. The role will encompass linking forest inventory data with remote sensing observations and developing machine learning models to predict forest carbon stocks and fluxes. Alongside this focus, the fellow will have the freedom and substantial support to explore new research avenues.

The postdoctoral fellow will be supervised by Dr. Mallory Barnes and Dr. Kim Novick (IU O’Neill School of Public and Environmental Affairs). This position offers a multitude of opportunities for interdisciplinary engagement both within IU- Bloomington and externally. Fellows will integrate into a vibrant research community, have the chance to attend national and regional conferences, co-author publications, and participate in a Forest Carbon Accounting workshop. While the role will likely be based in Bloomington, Indiana, consideration for remote work is possible. Funding is secured for up to three years.

Qualifications: The candidate should possess a Ph.D. in environmental science, environmental informatics, ecology, atmospheric sciences, or a related discipline. Mastery of machine learning and cutting-edge remote sensing techniques is essential. The successful candidate will be a highly motivated individual capable of thriving in dynamic team environments and invested in leveraging complex datasets for credible carbon accounting.

Salary: Commensurate with experience. Full benefits included.

To apply, please submit: 1) a letter of application that explains how this position fits your experience and goals, 2) your curriculum vita, and 3) names of at least three references electronically to https://indiana.peopleadmin.com/postings/20094. We will begin reviewing applications on November 30, 2023, however, review of applications will continue until the position is filled. Anticipated Start date is January 15, 2023, though the start date is negotiable. Please submit all materials before that deadline for full consideration. Inquiries regarding the position should be sent to: Dr. Mallory Barnes, malbarn@indiana.edu, O’Neill School of Public and Environmental Affairs, Indiana University, MSB-II 304, Bloomington, IN 47405.

Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.

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