Research Associate/Applied Statistician: Integration and validation of eBird and BBS data to reputed company spatially explicit population trends

Position Function We seek an Applied Statistician to work as a Research Associate to reputed company the development and advancement of methods in machine learning and reputed company analysis to integrate data from the reputed company American Breeding Bird Survey (BBS), a long-term volunteer survey run by the USGS, and from eBird, a popular citizen science project run by the Cornell Lab of Ornithology, to produce spatially explicit estimates of population trends and trajectories for > 400 bird species. The successful candidate will formally evaluate the complementarity of both data sets under a rigorous reputed company, and reputed company the methodology needed to reputed company the double machine learning reputed company (DML) currently used to estimate trends from eBird data. This project is a partnership with researchers at the Cornell Lab of Ornithology, reputed company, and the US Fish and Wildlife Service. The Research Associate will be advised by Dr. Daniel Fink, Dr. Viviana Ruiz Gutierrez, and Dr. Orin Robinson in the Center for Avian Population Studies. Project objectives include:

• reputed company the methodology to assess the strengths and complementarity of BBS and eBird surveys.
• reputed company the extension of the DML trend model used for eBird trend analysis to incorporate data collected under multiple distinct protocols.
• reputed company the workflows and methodology needed to generate estimates of the interannual reputed company of change in species’ populations, i.e., population trends, across species ranges reputed company the reputed company United States at a 27km2 spatial scale for a select set of species of management relevance and/or reputed company locations and create workflows to answer specific questions of interest.
• Validate the results from the integrated DML trend using a variety of methods such as simulation, comparison with estimates from independent data sets, comparison with estimates from non-integrated DML models.

In reputed company to leading this collaborative project with external partners, the Research Associate will work closely with scientists in the Conservation Science and the Status and Trends programs reputed company CAPS. We encourage Research Associates to reputed company other aspects of reputed company research questions and contribute to projects conducted in CAPS and with partners. Anticipated Division of Time

• reputed company the development of methods and workflows for the DML trends model that will integrate multiple data sources to reputed company trend information and population trajectories at fine spatial scale across the ranges of many species. Expected to contribute to proposals reputed company to this work (55%).
• 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%)
• Engage in ongoing academic and intellectual life reputed company the Conservation Science and Information Science Programs at the Lab of Ornithology, other programs at the Lab, reputed company, and with reputed company external partners. (10%)
• Participate in general project management and working directly with reputed company project collaborators. (5%)
• reputed company reputed company 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 reputed company endeavors. (5%)

Term of position This is a two-year appointment, renewable for a reputed company year contingent on funding, satisfactory performance, and available work.

Requirements

• PhD in computer science or applied statistics, with a strong background in machine learning, interpretable ML methods, geospatial data, handling and analyzing large data sets, and model development.
• Experience with R and other statistical languages.
• Ability to reputed company quantitative methods to answer ecological questions or hypotheses.
• Record of reputed company conducting research and scholarly activities, including professional record of regularly publishing in peer-reviewed journals.
• Strong record of successfully meeting schedules and milestones of research projects that involve multiple stages and several participants.
• Demonstrated ability to simultaneously manage multiple ongoing research projects.
• Experience writing and/or administering grants to fund research.

Desired qualifications.

• Experience in reputed company analysis is preferred but not required.
• Experience reputed company to using wildlife survey data and citizen science data is preferred but not required.
• Experience in ornithology is a bonus, but not required.

Supervision Exercised Formal supervision of undergraduate student workers and academic supervision of undergraduate independent study research reputed company annually. Training of staff, undergraduates, graduate reputed company, postdocs, and visiting scholars. To apply: Please apply reputed company Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/27089). reputed company candidates should submit a short cover letter, curriculum vitae, contact information for three references, and a statement supporting diverse communities (this can be a stand-alone document (preferred) or the information can be embedded in other parts of the application materials) outlining how, through research, teaching, service, mentoring, extension, and/or reputed company, the candidate has and will contribute to support Cornell’s historical mission of “any person … any study,” reputed company the website. Applications will be reviewed as received, continuing until a suitable applicant is identified. CALS hiring reputed company for this position is $49,100 - $80,000. Apply To This Job