Postdoctoral Associate

A new position for a postdoctoral research associate is available in the Center for Ecosystem Forecasting at Virginia Tech, co-supervised by Professors Quinn Thomas and Cayelan Carey. The Center is a vibrant, highly collaborative, interdisciplinary research team working on ecological forecasting at Virginia Tech. This onsite position will be at the nexus of many ongoing funded water quality forecasting projects and will provide hands-on training and many opportunities for communicating forecasts and research findings via peer-reviewed publications. Depending on the interests of the successful candidate, research activities could include: generating water quality forecasts with data from the Virginia Reservoirs LTREB (Long-Term Research in Environmental Biology; ltreb-reservoirs.org), NEON (National Ecological Observatory Network), and/or GLEON (Global Lake Ecological Observatory Network) and a suite of process and machine learning models; coupling catchment and lake models to build new forecasting workflows; integrating remote sensing data into lake and reservoir forecasts; developing software and/or cyberinfrastructure to support forecasting; and working closely to co-develop forecasts with a range of end users (including water managers, policy-makers, and community members). The position start date will be flexible, aiming for spring 2025 but later is also possible. Funding is available for at least two years, contingent upon a successful one-year review.

-We are seeking a Ph.D. in ecology, environmental science, or related field
-The candidate must have quantitative research experience in ecological modeling/forecasting, ecosystem science, and/or data analysis
-The candidate must have experience working in the R programming language

-Experience working with ecosystem models for lakes and/or reservoirs
-Experience analyzing water quality data
-Substantial experience in R or equivalent programming languages (e.g., Python, Matlab)
-Experience with collaborative coding projects and using versioning control tools (e.g., Git)
-Experience in statistical analysis
-Experience in analyzing long-term and high-frequency sensor environmental data
-Experience in publishing peer-reviewed journal articles
-Demonstrated ability to work in interdisciplinary collaborative teams

Restricted

Commensurate with experience

February 1, 2025

Candidates should submit: 1) a cover letter detailing their research experiences and interests and how they fit the required and preferred qualifications of the postdoctoral position, as well as how they envision the position to align with their future goals; 2) a C.V.; and 3) names and contact information for three references to the jobs.vt.edu website. Apply to posting #. Applicant screening will continue until the position is filled. Virginia Tech is committed to building a culturally-diverse faculty and strongly encourages applications from women and minorities. Candidates must be able to legally work in the U.S.

The successful candidate will be required to have a criminal conviction check.

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

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