Postdoctoral Scholar - Flagstaff, United States - Northern Arizona University

Northern Arizona University
Northern Arizona University
Verified Company
Flagstaff, United States

3 weeks ago

Mark Lane

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Mark Lane

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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.


Special Information

  • This position is an onsite 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.
- curriculum vitae,
- cover letter describing interest in the project and qualifications relevant to the position, and
- contact information for at least 3 professional references.


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%

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 metadata 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 cosupervise 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., coorganizing 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.
  • Bayesian statistical modeling experience.
  • Experience using high performance computing.
  • Experience working with flux tower data and/or NEON data.
  • Experience mentoring / supervising students, employees, or staff.
  • Experience working with large datasets.

Knowledge, Skills, & Abilities

  • Knowledge
  • Good understanding of climate science and ecosystem ecology.
  • Knowledge
able with coding languages, particularly R.

  • Knowledge
of the use of relevant computing tools.
Skills

  • Excellent data management skills.
  • Good collaborative skills and teamworking abilities.
  • Strong oral communicator and experience giving oral or poster presentations.
  • Organized, responsive, and reliable.
  • Organizational and project management skills.
  • Leadership, coordination, and/or supervision skills.
  • Data collection, processing, and analysis skills.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Suite (documents, sheets, etc.)
  • Possesses strong problem solving, organizational, and analytical capabilities.
Abilities

  • Demonstrated ability to write and publish scientific manuscripts.
  • Ability to work both independently and
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