Cornell University
Top university
4 days ago
Postdoctoral Associate in Acoustic Monitoring, Abundance Estimation, and Ornithological Ecology Cornell University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a postdoctoral appointment funded for 2 years. The initial appointment is one year with a possible one-year extension contingent on work and performance, and additional extensions may be possible with further funding. Salary is $65,000, with Cornell benefits including health care, paid leave, retirement contributions, and funding for conference participation and professional development.
Country
United States
University
Cornell University

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Postdoctoral Associate position at Cornell University, affiliated with the Cornell Lab of Ornithology and the Center for Avian Population Studies (CAPS). The project sits at the intersection of ornithology, biodiversity conservation, statistical ecology, acoustic monitoring, machine learning, and eBird-based population monitoring.
The successful candidate will work with Dr. Laurel Symes on developing methods that translate acoustic observations into calibrated estimates of relative abundance and on evaluating how acoustic data can complement eBird monitoring. Possible directions include statistical or machine-learning approaches, hierarchical models of the acoustic observation process, behavioral analyses of vocal activity, individual vocal discrimination, source separation, array localization, spatially explicit capture-recapture, and distance sampling.
The role includes access to large passive acoustic datasets, labeled acoustic data, raw eBird data, high-performance computing, and collaboration opportunities across Cornell University and the eBird Status and Trends team. The position is based in Ithaca, New York, United States, with a hybrid work schedule.
This is a postdoctoral opening, funded for 2 years. The initial appointment is for one year with a possible extension for another year, and additional extensions may be possible depending on funding and performance. Salary is $65,000, and Cornell provides benefits plus support for conference participation and professional development.
Applicants should hold a Ph.D. in a relevant field and have strong quantitative/programming skills in R and/or Python. Preferred experience includes passive acoustic monitoring, eBird data, statistical modeling, ecology, ornithology, and peer-reviewed publication experience.
Apply via Academic Jobs Online by submitting a cover letter, CV, one-page research statement, and three references. Review begins four weeks after posting and continues until the position is filled. Start date is flexible between October 1, 2026 and early 2027.
Funding details
This is a postdoctoral appointment funded for 2 years. The initial appointment is one year with a possible one-year extension contingent on work and performance, and additional extensions may be possible with further funding. Salary is $65,000, with Cornell benefits including health care, paid leave, retirement contributions, and funding for conference participation and professional development.
What's required
A Ph.D. in a relevant field such as machine learning, ecology, biological sciences, computer science, statistics, or engineering is required. Applicants should have demonstrated quantitative skills, proficiency in R and/or Python, expertise in one or more relevant areas, the ability and interest to develop new approaches at the intersection of methods development, acoustic monitoring, and ecology, and the ability to work independently and collaboratively. Preferred qualifications include experience with passive acoustic monitoring and/or eBird data, a strong background in statistical modeling, familiarity with ecology and/or ornithology, and a record of peer-reviewed publication.
How to apply
Apply through Academic Jobs Online. Submit a short cover letter, CV, one-page statement of proposed research focus and approach, and contact information for three references. Review begins four weeks after posting and continues until filled.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.