Postdoctoral Associate: Using eBird data to monitor and evaluate biodiversity and ecosystem health - Lab of Ornithology

Key Skills

Data science techniques, R Programming, Statistics

Job Description

We seek a Postdoctoral Associate interested in statistical modeling, biodiversity monitoring and evaluation, and conservation. The successful candidate will explore and validate the use of birds as indicators of biodiversity and ecosystem health. The specific focus of the work will be in regenerative agricultural systems (e.g., coffee and cacao agroforestry) in Central and South America. This project is an international partnership with researchers at the Cornell Lab of Ornithology, Cornell University, and private industry, including the Nespresso AAA Sustainable Quality Program and ECOM. The postdoctoral associate will be advised by Dr. Courtney Davis, Applied Quantitative Ecologist and Research Associate in the Conservation Science Program in Center for Avian Population Studies. Project objectives include:

• Developing validation techniques for new eBird data products on avian biodiversity, including estimates of species richness and completeness, with on-the-ground data collected via standardized point counts and autonomous recording units.

• Leading the alignment of eBird data products with external data sources on other taxonomic groups, including bees and other pollinators, in productive landscapes to support the use of birds as indicators of overall biodiversity for monitoring and evaluation.

• Designing a process and methodology for linking eBird data products with external data sources on carbon and soil health in productive landscapes to support the use of birds as indicators of ecosystem health for monitoring and evaluation.

• Develop methods to identify the environmental correlates of change in avian biodiversity and ecosystem health over time, with an emphasis on understanding the impact of changes in agroforestry practices (e.g., shade tree plantings, restoration of riparian strips) on individual species and entire bird communities.

• Develop methods to evaluate the potential impacts of climate and land-use change, including shifts in agroforestry practices and land cover (e.g., shifts from coffee to cacao production because of changes in suitability), on avian biodiversity and species of conservation concern in productive landscapes.

• In addition to external partners, the postdoctoral associate will be working closely with scientists in the Conservation and Ecological Data Science programs within CAPS. We encourage postdoctoral associates to explore related research questions and collaborate on projects conducted in the Lab and with partners.

• Anticipated Division of Time

• Develop methods for, and applications of: eBird raw data, eBird Status and Trends, and other eBird data products (e.g., species richness, community completeness) to meet project goals (45%).

• Present results at professional meetings, conferences, and popular seminars. Prepare peer reviewed papers and other research products, including reports and relevant information to partners. (25%)

• Research and engaging with funders. Participate in career and professional development opportunities. (10%)

• Engage in ongoing academic and intellectual life within the Conservation and Ecological Data Science Programs at the Lab of Ornithology and Cornell University, and with all external partners. (10%)

• Participate in general project management and working directly with internal and external project collaborators. (5%)

• Perform related projects and special duties as assigned. Establish and maintain a safe, productive, and respectful working environment that fosters a culture of inclusivity and teamwork. Create and promote an environment that fosters diversity, equity, and inclusion in all endeavors. (5%)

Term of position:

This is a full-time (100% FTE) position. This is a one-year appointment with possible extension depending on available work, funding and performance.

Preference is for on-site or a hybrid work arrangement in Ithaca, NY. Local personnel will have the flexibility to work on a hybrid schedule with opportunities to work on-site and from home. Fully remote work will be considered on a case-by-case basis with the expectation of periodic visits during the year. International candidates must be willing to relocate to the Ithaca area.

Required Qualifications:

• PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development.

• Experience with R and other statistical languages.

• Ability to apply quantitative methods to answer ecological questions or hypotheses.

• Record of success conducting research and scholarly activities, including publication in peer-reviewed journals.

Preferred Qualifications:

• Experience related to using wildlife survey data and citizen science data is preferred but not required.

• Experience in ornithology is a bonus, but not required.

Salary or Rewards/Benefits:

Salary is commensurate with experience, $56,484 to $68,000 per year and includes benefits. Relocation funds are available.

Cornell provides great benefits that include professional development, access to wellness programs, employee discounts with local and national retail brands, broad range of comprehensive health care options, and generous paid leave provisions: 3 weeks of vacation, 13 holidays (including end of year winter break), paid family leave, and superior retirement contributions.

Application Instructions 

Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/24592.

Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references, and a statement of contribution to diversity, equity and inclusion via the website.

Applications will be reviewed as received, continuing until a suitable applicant is identified. The ideal start date for this position is summer 2023.

If you have questions about this position, please email Courtney Davis at CLD74@cornell.edu.