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 vibrant unit within Cornell's College of Agriculture and Life Sciences (CALS), where twelve world-class, mission-driven programs are directed by full-time faculty and other renowned professionals. Lab staff teach undergraduate courses, advise graduate students, collect and disseminate world-famous digital resources on biodiversity, and engage with partner organizations and citizens around the world to conduct scientific research and conservation actions. Our management and staff are committed to the highest standards of ethics and excellence in all areas of our work, and our Board leadership includes faculty from Cornell and other universities, successful entrepreneurs and managers from the business and non-profit sectors, and conservation-minded citizens from the United States and beyond. The Bioacoustics Research Program (BRP), one of 12 programmatic units within the Cornell Lab of Ornithology (Lab), collects and interprets sounds in nature by developing and applying innovative technologies across multiple ecological scales to inspire and inform conservation of wildlife and habitats. In addition to conducting basic and applied research and technology development, BRP provides bioacoustic monitoring tools, services, and expertise to partners and customers in academia, government, and industry.
Lab of Ornithology, College of Agriculture and Life Sciences
This Postdoctoral Associate will join the BRP team and work collaboratively with the Lab's Information Science (IS) team on the research and development of methods and algorithms to extract and classify bird vocalizations in long-term acoustic data sets recorded globally.
These research and development activities form part of an interdisciplinary initiative that aims to: (a) design and deploy landscape-scale remote acoustic sensing networks that capture abundance and distribution of birds; (b) design systems for automatic bird sound identification; (c) develop tools for both mining existing databases of recordings containing these and other vocalizations of birds; and (d) provide an online exploration/research hub for spatio-acoustic
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