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U.S. Department of the Interior (DOI)

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USGS Ecological Statistics Research and Development U.S. Department of the Interior (DOI) in United States

Degree Level

Master's

Field of study

Computer Science

Funding

Stipend of $66,000.00 – $85,000.00 yearly; appointment initially for one year and may be renewed contingent on funds.

Deadline

Nov 30, 2026

Country flag

Country

United States

University

U.S. Department of the Interior (DOI)

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Keywords

Computer Science
Data Science
Environmental Science
Biology
Mathematics
Python Programming
Data Visualization
Reproducible Research
Hierarchical Modeling
High Performance Computing
Statistics
Statistical Modelling

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About this position

This research opportunity places a student with the Ecological Statistics (EcoStat) team at the Northern Rocky Mountain Science Center in Bozeman, Montana, within the U.S. Geological Survey. The project is led and mentored by Dr. Kathryn M. Irvine, a collaborative research statistician working in a multidisciplinary federal science environment.

The work is centered on applied statistical research for ecological and conservation questions relevant to natural resource management. The EcoStat team develops methods for analyzing complex ecological datasets, including spatially and temporally misaligned data, bat acoustic data, and long-term monitoring data for ecological indicators. Example research areas include impacts of white-nose syndrome on bat species in the western United States, statistical evaluation of ecological monitoring efforts, and probability design creation for natural resource agencies.

Project activities may involve simulation studies to test assumptions behind ecological inferences, development of novel statistical techniques for real-world ecological data, and creation of reusable code and documentation for practitioners. The student may also contribute visualizations of empirical and modeled results, peer-reviewed manuscripts, USGS software releases, and presentations at conferences or professional meetings.

The opportunity is embedded in the USGS Northern Rocky Mountain Science Center research environment, where scientists work across major themes such as wildlife disease, fisheries and water resources, habitat, cryosphere science, and biosurveillance of biological threats. The role emphasizes collaboration, communication with domain scientists, and the development of practical statistical tools for federal and state partners.

Funding details

Stipend of $66,000.00 – $85,000.00 yearly; appointment initially for one year and may be renewed contingent on funds.

What's required

The qualified candidate should be currently pursuing or have received a master's or doctoral degree in Statistics, Data Science, or another related field. Preferred applicants will have an interest in ecological applications, foundational coursework in statistical techniques and inference (including mathematical statistics, probability theory, computational statistics, Bayesian modeling, zero-inflated ecological models, spatio-temporal modeling, probabilistic sampling, hierarchical modeling, and multivariate statistics), data science skills for large spatial and temporal datasets (including data management, QA/QC, and visualization), technical skills such as R and/or Python, reproducible documents (e.g. Quarto), collaborative coding platforms (e.g. git), probabilistic programming languages (e.g. Stan or Nimble), and/or high-performance computing, plus effective verbal and written communication skills, self-motivation, and the ability to maintain professionalism and high-quality effort under changing deadlines and project directions.

How to apply

Submit the application through the APPLY button on the opportunity page. Include a transcript, a current resume/CV, and two educational or professional recommendations; at least one recommendation must be submitted for the mentor to view the application. All documents must be in English or include an official English translation.

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