The Charles H. Dyson School of Applied Economics and Management (AEM) is a large and diverse school within the SC Johnson College of Business. It is accredited by the Association to Advance Collegiate School of Business (AACSB), the international accrediting body for business programs. It includes 47 professorial academics, four incoming professorial academics; 11 non-professorial academics, one incoming non-professorial academic that are internationally known scholars with training in the fields of applied economics and management science. The Dyson community also includes 700 undergraduates, 230 undergraduate minors, 100 graduate students, and 38 members of the professional and support staff. AEM is integrally involved in major research and extension outreach programs.
We are seeking high energy, creative thinkers to join our team of economists, data analysts, and software engineers in the Ag-Analytics group in the Dyson School of Applied Economics and Management. Our team is actively involved in tackling a variety of cutting-edge research questions, building open source software and data systems for producers and researchers, and work closely with industry and government to develop and translate research outcomes. Our research and outreach spans a wide variety of areas relevant to agricultural finance, including weather and crop production risk modeling; geospatial analysis; crop insurance and actuarial modeling; agricultural policy; futures markets and price analysis, among others. The individual will also support the Ag-Analytics New York Crop Insurance and Risk Management Education Project which provides comprehensive crop insurance education and information through a variety of outreach activities. The project follows in the land grant tradition, where faculty experts and extension professionals work directly with the agricultural community to deliver relevant crop insurance and risk management programming based on sound research. Our partners throughout the state have close relationships with New York's diverse farms and play a key role in development and delivery of project materials.
Duties include research and modeling work in risk management and crop insurance, data analysis, research, generating reports, as well as supporting analytics and modeling development in conjunction with our web team including but not limited to development of educational materials; assistance with project management and planning of events; assistance with specific subject matter assessments related to focus groups; focus group preparation; and development of detailed crop insurance examples for diverse New York farm types, and coordinating content to be distributed through the project website; maintain reading and other articles, create announcements/press releases on risk management, assisting in setting up marketing strategy, reviewing policy documents of crops to be discussed in educational programs, creation of accurate crop insurance educational materials and examples, review and synthesis of underwriting guidelines, loss adjustment procedures, RMA Cost Estimator, Actuarial Information Browser, other relevant RMA website applications and technical work.
Excellent project management and communication skills a must. A willingness and ability to learn new modeling and programming skills in a multi-disciplinary setting is a must. Primary job duties will involve data analysis, conducting literature reviews, report writing, metadata collection and maintenance, and working with our web applications team to develop and deploy analytical tools under the direction of faculty supervisor in collaboration with other group members. Information on some of our current activities can be found here: agfinance.dyson.cornell.edu
This position is an initial one-year appointment with renewal contingent upon funding and performance
PhD in economics, agricultural economics, geography, statistics or related field, or MS with at least 2 year of experience. Strong technical skills. Ability to creatively solve complex economic and technical problems. Working knowledge of at least one modern relational database management system (SQL Server (preferred), Oracle, MySQL, PostGre, etc.). Experience working in teams to build interactive web interfaces based on research models and big data applications a huge plus. Experience using web-based API's. ArcGIS, spatial data analysis, crop insurance rules. Strong grantsmanship and project management skills. Experience with using GitHub a plus
University Job Title:
Research Support Spec I
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