Research Scientist
Listed on 2026-01-09
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Research/Development
Data Scientist, Research Scientist
Job Description
The Virginia Tech Center for Ecosystem Forecasting is recruiting a Research Scientist with a Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental Engineering, or a related field. This integral, long‑term member will contribute to environmental modeling and forecasting research across multiple funded projects. The candidate will create and apply innovative environmental models and forecasts that provide actionable insights to guide decision‑making and management.
Learn more about the Center, its mission and values, current projects, and our collaborative, interdisciplinary team at (Use the "Apply for this Job" box below)..
- Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental/Civil Engineering, or a related field.
- Significant experience publishing peer‑reviewed journal articles, demonstrated by publication record.
- Significant quantitative research experience in ecosystem modeling, environmental forecasting, and/or computational ecology, demonstrated by publications and/or software development.
- Significant experience working in the R and/or Python programming language, demonstrated by Git Hub (or other code repository) portfolio.
- Significant experience in environmental data analysis, demonstrated by publications and presentations.
- Experience with collaborative coding, demonstrated by Git Hub (or other code repository) activity.
- Ability to work in interdisciplinary collaborative teams, demonstrated by previous team research experiences.
- Postdoctoral research experience.
- Experience with water quality models, demonstrated by developing, calibrating, and applying water quality models, especially for lakes and reservoirs.
- Experience publishing data and code products, demonstrated by authorship of published data and code.
- Experience in data and forecast visualization, demonstrated by development and dissemination of data and forecast visualizations.
- Experience in mentoring and/or supervising.
- Experience working across computational platforms (e.g., command line, Docker, cloud computing and storage, RStudio, etc.).
Review of applications begins Monday, 22 December, with anticipated Zoom interviews scheduled in early January. Funding is available for multiple years, contingent on satisfactory performance during an initial probationary period and subsequent annual performance reviews. This position does not sponsor or take over sponsorship of an employment visa at this time. The successful candidate must have a criminal conviction check.
Position DetailsOvertime Status:
Exempt – Not eligible for overtime
Appointment Type:
Restricted
Salary Information:
Commensurate with experience
Hours per week: 40 hours – exempt position
Review Date:
December 22, 2025
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, a Graduate School, and an Honors College.
The university has a significant presence across Virginia,…
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