Who We Are
The Cornell Lab of Ornithology is a globally focused institution for research, training, and public communication relating to birds and biodiversity. The Lab of Ornithology is home to a vibrant community of several dozen postdoctoral researchers working across all six centers, and we strive to provide a supportive and collaborative environment for this community that fosters personal growth and career advancement. Within the Lab of Ornithology, The Center for Avian Population Studies (CAPS) carries out the Lab’s mission to interpret and conserve the earth’s biological diversity through research, education, and citizen science focused on birds. Scientists within CAPS use machine learning and statistical methods to analyze observations of birds to increase understanding of the natural world and to assist global conservation.
The Cornell Lab is currently home to a vibrant community of several dozen Postdoctoral Associates working across all six centers, and we strive to provide a supportive and collaborative environment for this community that fosters personal growth and career advancement.
The eBird project collects information about the distribution and abundance of birds, taking advantage of the enormous popularity of watching birds to create a global network of volunteers who submit bird observations. The eBird Science team within CAPS develop and advance statistical methods, to ensure reliable ecological inference from this powerful citizen science database.
What You Will Do
You will work within a dynamic and interdisciplinary group of researchers in CAPS and with the eBird dataset. You will investigate and advance the statistical methodology to create indicators of biodiversity from eBird data. Using these methods, you and other researchers will develop indicator metrics using eBird data that will accurately reflect ecosystems services and environmental processes. The overall goal is to develop eBird indicators that can be used to track future variation in these environmental processes.
Specific duties include:
Developing analyses to understand the challenges inherent in eBird data, this includes investigating the spatial and temporal variation in the eBird observation process, particularly with respect to understanding changes in the observation process over time.
Applying, testing, and developing analytical methods to create temporal indices that are robust to confounding factors that vary between years. Creating indices of biodiversity using eBird data to produce indices that reflect ecosystem services and broader environmental processes.
Contributing to other analytical and ecological projects within CAPS and the Cornell Lab of Ornithology.
Creating a dialogue with non-academic partners and communicating the results of the research effectively with these audiences.
Presenting results at professional meetings, conferences, and popular seminars.
Preparing peer-reviewed papers and other research products.
What We Need
We are looking for an individual who enjoys working directly with internal and external project collaborators. We need someone who enjoys engaging in ongoing academic and intellectual life. Additionally, we need someone who has:
Ph.D. in quantitative ecology, applied statistics, or a related field with a strong background in statistics and model development.
Experience with R and other programming languages.
Proven ability to apply quantitative methods to answer ecological questions and hypotheses.
Strong record of success conducting research and scholarly activities, including publication in peer-reviewed journals.
Excellent verbal and written communication skills.
Ability to work alone and to contribute to team projects.
If you possess these experiences and skills, this may be the role for you! There are a few other qualifications that we would view as incredibly helpful in this role, to include:
Experience in ornithology and affinity with birds.
Experience with machine learning, causal inference, and other methods for data analysis.
Knowledge of biodiversity metrics.
Experience with High-Performance Computing or Cloud Computing.
Experience working alongside non-academic partners.
This is a full-time (40 hours/week) position and will be located in Ithaca, New York. This is a one-year appointment with possible extension for a second year, depending on funding and performance.
Rewards and Benefits
We hope you appreciate great benefits. Cornell receives national recognition as an award-winning workplace for our health, wellbeing, sustainability, and diversity initiatives.
Our benefits program includes comprehensive health care options, employee discounts with local and national retail brands, and generous retirement contributions.
Our leave provisions include three weeks of vacation and 12 holidays: e.g., an end-of-year winter break, from December 25th through January 1st.
Cornell's impressive educational benefits include tuition-free Part-time Study and Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program.
We invite you to follow this link to get more information: https://hr.cornell.edu/summaries-benefits.
Please apply via Academic Jobs On-line (https://academicjobsonline.org/ajo/jobs/16807).
Qualified candidates should submit a letter of application outlining qualifications, curriculum vitae, contact information for three references, one example publication, 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. For more information, please contact Dr. Alison Johnston (email@example.com).
College of Agriculture and Life Sciences
Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.
Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations
Employment Assistance: If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Department of Inclusion and Workforce Diversity at voice (607) 255-3976, fax (607) 255-7481, or email at firstname.lastname@example.org. For general questions about the position or the application process, please contact the Recruiter listed in the job posting. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also visit the office of Workforce Recruitment and Retention Monday - Friday between the hours of 8:30 a.m. – 4:30 p.m. to use a dedicated workstation to complete an online application. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.
Application Materials Required:
Submit the following items online at this website to complete your application:
Statement of Contribution to Diversity, Equity, and Inclusion
One example of publication
Three References (no actual letters, just names and email addresses )
And anything else requested in the position description.
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Ithaca, New York 14850