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

Center for Avia Population Studies

Cornell Lab of Ornithology

College of Agriculture & Life Sciences

Cornell University

Ithaca, New York

The College of Agriculture and Life Sciences at Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and home to Cornell University's second largest population of students, faculty and staff. We work across disciplines to tackle the challenges of our time through world-renowned research, education and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy and environmental resources; and social, physical and economic well-being. CALS is fundamentally invested in improving the lives of people, their environments and their communities both in New York state and around the world.

About Us:

The Cornell Lab of Ornithology is the world's leading resource for conservation, research, education, and citizen science focused on birds. The Lab is a unit within Cornell's College of Agriculture and Life Sciences (CALS), where full-time faculty and other renowned professionals direct twelve world-class, mission-driven programs. Staff at the Lab publish research, teach courses, advise students and postdocs, collect and disseminate world-famous digital resources on biodiversity, and engage with partner organizations and citizens around the world to conduct scientific research and facilitate conservation actions.

The Center for Avian Population Studies (CAPS) is one of the major programmatic units at the Lab, collecting and disseminating biodiversity data to enhance the information and decision-making tools available to conservationists and scientific researchers. We achieve this by producing scientific, computational, and big data resources that transform how we understand and protect the world around us.

The Cornell Lab is home to a vibrant community of several research associates working across all twelve programs. We strive to provide a supportive and collaborative environment for this community that fosters personal growth and career advancement. The Lab is an inclusive community, and we recognize that diverse, inclusive communities create more innovative and impactful work to address global challenges and benefit humanity and nature. The Cornell Lab is committed to fostering and sustaining a healthy workplace that values diverse and inclusive perspectives and backgrounds and supports growth and advancement opportunities. The Lab believes that every team member enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and discover, design, and deliver solutions.

Position Function

We seek an Applied Statistician to work as a Research Associate to lead the development and advancement of methods in machine learning and causal analysis to integrate data from the North 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 framework, and develop the methodology needed to extend the double machine learning framework (DML) currently used to estimate trends from eBird data. This project is a partnership with researchers at the Cornell Lab of Ornithology, Cornell University, 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:

• Develop the methodology to assess the strengths and complementarity of BBS and eBird surveys.
• Develop the extension of the DML trend model used for eBird trend analysis to incorporate data collected under multiple distinct protocols.
• Develop the workflows and methodology needed to generate estimates of the interannual rate of change in species' populations, i.e., population trends, across species ranges within the continental United States at a 27km2 spatial scale for a select set of species of management relevance and/or priority 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 addition 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 within CAPS. We encourage Research Associates to lead other aspects of related research questions and contribute to projects conducted in CAPS and with partners.

Anticipated Division of Time

• Lead the development of methods and workflows for the DML trends model that will integrate multiple data sources to provide trend information and population trajectories at fine spatial scale across the ranges of many species. Expected to contribute to proposals related 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 within the Conservation Science and Information Science Programs at the Lab of Ornithology, other programs at the Lab, 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 two-year appointment, renewable for a third 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 develop quantitative methods to answer ecological questions or hypotheses.

• Record of success 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 causal analysis is preferred but not required.
• 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.

Supervision Exercised

Formal supervision of undergraduate student workers and academic supervision of undergraduate independent study research students annually. Training of staff, undergraduates, graduate students, postdocs, and visiting scholars.

To apply:

Please apply via Academic Jobs Online ().

Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references, and a (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 outreach, the candidate has and will contribute to support Cornell's historical mission of "any person ... any study," via the website.

Applications will be reviewed as received, continuing until a suitable applicant is identified.

CALS hiring range for this position is $49,100 - $80,000.

College of Agriculture and Life Sciences

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Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Pay Range:

Pay Ranges:

The hiring rate of pay for the successful candidate will be determined considering the following criteria:

• Prior relevant work or industry experience.

• Education level to the extent education is relevant to the position.

• Academic Discipline (faculty pay ranges reflects 9-month annual salary)

• Unique applicable skills.

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EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.