Courtney Davis

The Department of Natural Resources and the Environment at Cornell University is seeking a Postdoctoral Associate to work on forecasting changes in avian biodiversity under changing climate conditions. This position is based within the College of Agriculture and Life Sciences (CALS), a leader in interdisciplinary, purpose-driven science. The successful candidate will join a collaborative team, including the Conservation Science and eBird Status and Trends groups at the Cornell Lab of Ornithology, and will work closely with both internal and external partners. The primary focus of the project is to use data from eBird and structured monitoring programs to forecast species' responses to projected climate and land-use/land-cover changes under multiple socio-climatic scenarios, with the goal of identifying priority areas for migratory forest birds through the end of the century. The research will provide management agencies with robust, high-resolution information to inform long-term conservation planning and decision-making for migratory species. Key objectives include forecasting species distributions and relative abundances through 2100, identifying priority areas for future avian biodiversity, and quantifying the combined impacts of climate and land-use/land-cover change on population persistence. The postdoctoral associate will develop methods for integrating eBird and structured survey data with climate and land-use data, present results at conferences, prepare peer-reviewed publications, and participate in professional development and academic life at Cornell. The position is a one-year appointment, renewable annually for up to three years based on satisfactory performance and funding. The CALS hiring range is $62,232.00 to $70,175.00, with a pay range up to $88,745.00. Applicants must have a PhD in quantitative ecology, applied statistics, or a related field, with strong statistical and modeling skills, experience with R or similar languages, and a record of research productivity. Experience with wildlife survey data, participatory science data, and climate data is preferred. The position is based in Ithaca, NY, and domestic travel for conferences and partner meetings is expected. Applications are accepted via Academic Jobs Online and will be reviewed on a rolling basis until the position is filled.

This postdoctoral associate position at Cornell University's Department of Natural Resources and the Environment focuses on forecasting changes in avian biodiversity under changing climate conditions. The successful candidate will join the College of Agriculture and Life Sciences (CALS), working closely with the Conservation Science and eBird Status and Trends teams at the Cornell Lab of Ornithology. The project aims to use data from eBird and structured monitoring programs to identify priority areas for migratory forest birds through the end of the century by forecasting species’ responses to projected climate and land-use/land-cover change under multiple socio-climatic scenarios. The research will provide external management agencies with robust, high-resolution information to inform long-term conservation planning and decision-making for migratory species. Key objectives include forecasting species’ distributions and relative abundances under various scenarios, identifying priority areas for future avian biodiversity, and quantifying the combined impacts of climate and land-use/land-cover change on population persistence. The postdoctoral associate will develop methods for integrating eBird and structured survey data with climate and land-use/land-cover data, present results at professional meetings, prepare peer-reviewed papers, and engage in career development and academic life at Cornell. The position is a one-year appointment, renewable up to three years based on performance and funding, with a salary range of $62,232.00 to $70,175.00 (potentially up to $88,745.00 depending on qualifications). Applicants must have a PhD in quantitative ecology, applied statistics, or a related field, with experience in statistical modeling and R programming. Experience with wildlife survey data, participatory science data, and climate data is preferred but not required. The position is based in Ithaca, NY, and may involve domestic travel for conferences and partner meetings. Applications are accepted via Academic Jobs Online and will be reviewed on a rolling basis until the position is filled.

Cornell University’s Department of Natural Resources and the Environment is seeking a Postdoctoral Associate to join a research project focused on forecasting changes in avian biodiversity under changing climate conditions. The position is based in Ithaca, NY, within the College of Agriculture and Life Sciences (CALS), a leader in interdisciplinary, purpose-driven science. The successful candidate will work on a large-scale, multi-sectoral project that uses data from eBird and structured monitoring programs to identify priority areas for migratory forest birds through the end of the century. The research involves forecasting species’ responses to projected climate and land-use/land-cover change under multiple socio-climatic scenarios, providing management agencies with robust, high-resolution information to inform long-term conservation planning and decision-making. Key objectives include modeling species distributions and relative abundances through 2100, identifying priority areas for future avian biodiversity, and quantifying the combined impacts of climate and land-use/land-cover change on population persistence using structured survey data. The postdoctoral associate will collaborate closely with scientists in the Conservation Science and eBird Status and Trends teams at the Cornell Lab of Ornithology, as well as external partners. The anticipated division of time includes developing methods and analyses (45%), presenting results and preparing research products (35%), participating in professional development (10%), engaging in academic life at Cornell and with partners (5%), and project management (5%). The appointment is for one year, renewable up to three years based on performance and funding. Applicants must have a PhD in quantitative ecology, applied statistics, or a related field, with strong skills in statistics and model development, experience with R and other statistical languages, and a record of research success. Experience with wildlife survey data, participatory science data, and climate data is preferred but not required; ornithology experience is a bonus. The position offers a competitive salary range of $62,232 to $70,175 per year. Applications are accepted via Academic Jobs Online and reviewed on a rolling basis until the position is filled. Cornell University is an equal opportunity employer and values diversity in its workforce.