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Northern Arizona University Postdoctoral Scholar - Drought Legacies and Ecosystem C Fluxes in Flagstaff, Arizona

This job was posted by https://www.azjobconnection.gov : For more information, please see: https://www.azjobconnection.gov/jobs/6499715

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rPostdoctoral Scholar - Drought Legacies and Ecosystem C Fluxes

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rLocation: SICCS

rRegular/Temporary: Regular

rJob ID: 607880

rFull/Part Time: Full-Time

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r Workplace Culture

NAU aims to be the nation\'s preeminent engine of opportunity, vehicle of economic mobility, and driver of social impact by delivering equitable postsecondary value in Arizona and beyond.

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Special Information

  • This position is subject to the availability of funding. The incumbent is not eligible for Service Professional non-renewal notice, or Classified Staff layoff or recall status.
  • This position is an on-site position which requires the incumbent to complete their work primarily at an NAU site, campus, or facility with or without accommodation. Opportunities for remote work are rare.
  • To receive full consideration, submit the following application materials in a single-PDF document:
    1. curriculum vitae,
    2. cover letter describing interest in the project and qualifications relevant to the position, and
    3. contact information for at least 3 professional references.

Job Description

Northern Arizona University in beautiful Flagstaff, Arizona is advertising for Postdoctoral research position in the areas drought impacts, ecosystem carbon fluxes, and statistical ecology, with a focus on drylands in the western US. The Postdoctoral Scholar will be based in the School of Informatics, Computing, and Cyber Systems, and will be supervised by Dr. Kiona Ogle, in collaboration with Drs. Jarrett Barber (NAU) and Drew Peltier (University of Neveda, Reno), and will collaborate with other team members on a project funded by the NSF Macrosystems Biology program, \"Climate legacies and timescales of influence on carbon cycle processes in drylands.\"

The objectives of this NSF-funded project are 4-fold: (1) Quantify the magnitude and duration of extreme climate events (e.g., drought) on C fluxes in the western US. (2) Evaluate climatic memory and the timescales over which climate drivers impact C fluxes. (3) Determine how such legacy and memory responses vary across drylands in the western US. (4) Evaluate the importance of legacies and memory (timescales of influence) for the C cycle. The postdoc will contribute to projects related to synthesizing climate and micrometeorological data to identify extreme climate and/or weather events in the western US, and will analyze ecosystem C flux data (e.g., from the NEON and/or AmeriFlux networks) in the context of climate and/or weather extremes to the quantify the impacts and legacies of such events on carbon flux components across a range of spatial and temporal scales. The postdoc will co-supervise student (undergraduate or masters) researchers and will potentially contribute to outreach and training activities.

Statistical Modeling and Computation - 45%

  • Develop and apply statistical models (e.g., hierarchical Bayesian and/or machine learning) to climate, micrometeorological, flux tower, and/or satellite remote sensing data. Develop / use models to identify extreme climate / weather events and to evaluate how various ecosystem carbon flux components are impacted by such extreme events (i.e., quantify climate legacies and climate memory).

Dissemination of Results and Publications - 20%

  • Lead and contribute to manuscripts emerging from research projects; publish manuscripts in high quality journals in the field; disseminate project results via oral/poster presentations at professional conferences.

Data Management and Data Wrangling - 15%

  • Assist with acquisition and preparation of publicly available datasets; prepare datasets for subsequent statistical analysis; create meta-data and document works flows involving data; contribute to appropriate data sharing and data publication; contribute to data documentation and preservation of that data.

Supervise Project Participants - 10%

  • Supervise or co-supervise student researchers (undergraduate or MS students) involved in project tasks.

Contribute to Training and Outreach Activities - 5%

  • Assist with developing and delivering short training modules for the project team, based on areas of expertise relative to project. Assist with outreach activities (e.g., co-organizing workshops or conference sessions, contributing to podcasts, engaging with stakeholders).

Other - 5%

  • Other duties as assigned.

Minimum Qualifications

  • PhD or equivalent doctorate in a relevant field is required, such as ecology, environmental science, forestry, statistics, data science, informatics, or similar.

Preferred Qualifications

Statistical modeling and coding experience.

Experience working with ecological data, flux tower data, and climate data.\<

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