Join the Lab

Post-Doctoral Researchers:

Drought Legacies and Ecosystem C Fluxes

Appointment: Up to 3 years, contingent on available funding and performance.

Description: An NSF Macrosystems project on “Climate legacies and timescales of influence on carbon cycle processes in drylands” is seeking to hire a second postdoc at Northern Arizona University (NAU) in beautiful Flagstaff, Arizona. The postdoc will participate in projects related to understanding and predicting the impacts of extreme climate or weather events on ecosystem C fluxes (e.g., using data from the NEON and/or AmeriFlux networks) across a range of spatial and temporal scales in the western US. The postdoc will co-supervise student (undergraduate or masters) researchers and will potentially contribute to outreach and training activities. A PhD or equivalent in a relevant field is required, such as plant/ecosystem ecology, environmental science, forestry, statistics, or data science. Applicants should have experience in statistical modeling (e.g., Bayesian and/or machine learning), coding (e.g., in R) and computing, and working with flux tower data and other ecological, environmental, or climate data. Applicants are expected to have a good understanding of plant physiological or ecosystem ecology, demonstrate a track record of writing and publishing scientific manuscripts, and be excited and willing to work in a collaborative environment. All application materials should be submitted in a single PDF-document and include: (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. To apply, go to Careers @ NAU (https://in.nau.edu/human-resources/current-job-openings/), click “Current openings,” then “Career opportunities,” then search “Staff openings” using vacancy number 607880. For full consideration, applications should be submitted by July 8, 2024. The position is expected to begin in Fall 2024 (between August-December). For further information, contact: Dr. Kiona Ogle (kiona.ogle@nau.edu). NAU is a committed Equal Opportunity/Affirmative Action Institution. Women, minorities, veterans and individuals with disabilities are encouraged to apply.  NAU is responsive to the needs of dual career couples. NAU is an Employer of National Service. AmeriCorps, Peace Corps, and other National Service alumni are encouraged to apply.

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 applying machine learning methods
  • 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

Graduate Students:

Join the PhD program in Ecological and Environmental Informatics (EEI) at Northern Arizona University! Students interested in pursuing a graduate degree under the direction of Dr. Kiona Ogle related to any of the research themes in the Ogle Lab are encouraged to contact Dr. Ogle via email at Kiona [DOT] Ogle [AT] nau [DOT] edu. Dr. Ogle is particularly interested in taking on students with strong quantitative backgrounds, or that have the ability and desire to develop quantitative and computing skills, and that wish to use these skills to address important questions in plant or ecosystem ecology. Students keen on integrating mathematical, simulation, or statistical modeling with empirical or experimental studies to address questions related to one of the Ogle Lab’s research themes should contact Dr. Ogle, and prospective students with compatible interests are encouraged to learn more about the graduate programs at NAU and/or to apply for graduate study through the School of Informatics, Computing, and Cyber Systems (see the EEI PhD program) or the Department of Biological Sciences (see the Biology PhD program).

Undergraduate Students:

The Ogle Lab is frequently looking for NAU undergraduates to help with a variety of ecology or computing related projects. Students often participate in a range of activities that involve anything from data entry to working with large databases to field work to laboratory analyses of field samples. Interested students should contact Dr. Kiona Ogle via email at Kiona [DOT] Ogle [AT] nau [DOT] edu.