"Horticulture Section- Postdoctoral Associate"

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. 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: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world's complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world.

Position Function: Anticipated Division of Time: Conduct independent and collaborative research to meet project goals. Predominantly data synthesis work, but potentially also some field work. (70%) Meet with collaborators and stakeholders to facilitate research projects. (10%) Mentor graduate student research. (10%) Present results at academic/extension and popular seminars. (5%) Other position-related responsibilities (5%): Participate in general project management Establish and maintain a safe, productive, and respectful working environment that fosters a culture of inclusivity and teamwork. Engage in ongoing academic and intellectual life within CALS and Cornell University.

Requirements: PhD in ecology, quantitative ecology, applied statistics, or a related field with strong background in data science, statistics and model development. Ability to conduct original research, from conception to completion/publication. Knowledge of ecology and ecological systems. Knowledge of urban ecosystems and urban ecology is preferred. Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. Experience working with large datasets and platforms such as GBIF, iNaturalist & GitHub. Experience with field ecology and field-collected ecological datasets is preferred. Experience mentoring graduate students is preferred. Strong communication skills and proficiency in spoken and written English.

Supervision Exercised: This position may supervise students. Opportunities exist for informal mentoring of graduate and undergraduate research students.